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000-911 exam Dumps Source : System and Administration: Informix Dynamic Server

Test Code : 000-911
Test denomination : System and Administration: Informix Dynamic Server
Vendor denomination : IBM
: 142 true Questions

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IBM System and Administration: Informix

IBM and AGS broadcast Availability of recent options for Informix Dynamic Server | killexams.com true Questions and Pass4sure dumps

supply: IBM

July 05, 2007 12:00 ET

New Server Studio and Sentinel R. 6.1 to permit quick Adoption of IDS 11 "Cheetah"

ARMONK, ny and ny, vast apple--(Marketwire - July 5, 2007) - IBM (NYSE: IBM) and AGS Ltd., a privately held purveyor of management solutions for facts servers, these days introduced that the novel Server Studio and Sentinel R. 6.1 -- the essential suite of integrated gadget administration paraphernalia for IBM Informix Dynamic Server (IDS) -- is now accessible, with variants offered by means of both IBM and AGS.

The IDS statistics server is a strategic point of IBM's information management application portfolio and the these days announced IDS 11 -- code named Cheetah -- delivers multiplied efficiency, reliability and scalability, together with the means to address huge volumes of advanced statistics at very unreasonable speeds. IDS eleven is additionally the business's first data server to deliver clustered data centers with perennial facts availability and catastrophe healing despite the geographic district or distance between backup statistics middle websites.

Server Studio and Sentinel together benign a magnificent infrastructure of multi-platform paraphernalia that assist both pro database professionals and beginners alike manage IBM Informix facts server environments with an unheard of ease and productiveness. aboriginal back of IDS 11 novel performance within the liberate 6.1 of Server Studio and Sentinel further enhances talent to deliver most efficient efficiency, availability and maintainability of Informix databases during their all operational being cycle.

"Our long-term partnership with AGS underscores IBM's steadfast commitment to offering IDS customers with the performance optimization, availability and compliance administration solutions they need," referred to Bernie Spang, director IBM statistics servers. "the novel liberate 6.1 of Server Studio and Sentinel will aid offer protection to the funding that their shoppers tolerate made of their Informix statistics server infrastructures."

the flexibility, wealthy performance and ease-of-use provided through Server Studio and Sentinel construct on the legendary reliability and effortless administration of IDS. the brand novel appliance set provided by using AGS helps businesses and companies gain positive that crucial database purposes remain up and discharge at height ranges, enabling them to conveniently control alternate, wield regulatory compliance and guarantee availability of essential enterprise tips.

bank of the usa currently chosen Server Studio and Sentinel for its IDS environment -- one of the most world's largest disbursed data facilities processing on-line fiscal transactions.

"The latest free up of Server Studio and Sentinel give a group of built-in, highly productive device management tools that developers and DBAs working with IBM's Informix records servers tolerate been traumatic and awaiting. Informix now has very powerful graphical paraphernalia that exceed the capabilities of aboriginal and third celebration offerings purchasable for any other database platform. yoke this with spectacular technical back and furthermore you collect items with incredible charge and a short ROI," pointed out Kevin Kleinhomer, vice chairman at fiscal institution of the usa. "In their gargantuan distributed environment, Server Studio and Sentinel tolerate simplified and automated many DBA tasks. With these additions, IBM's Informix information servers tolerate been made greatly simpler to manage and monitor."

Server Studio gives a finished assortment of effortless-to-use, proven tools for DBAs and developers that increase efficiency of performing dispassionate database projects similar to: SQL construction and debugging, schema management, configuration auditing and change management, performance tuning, information storage management and reorganization, safety administration and extra -- complete from an built-in graphical console that unites construction, administration and protection actions for a all Informix infrastructure at a principal ingredient of manage.

Sentinel provides 24 × 7 operational monitoring, alerting, concern discovery, analysis and autonomic response automation infrastructure for IBM Informix statistics servers' ambiance. it live effortless to deploy agent-much less structure equips DBAs with sophisticated diagnostics and remediation facilities which aid pinpoint and unravel the underlying explanations of performance bottlenecks and elements competition issues that adversely tolerate an result on databases' availability and influence pause clients.

Smaller businesses and businesses that would not tolerate significant IT staffs to maneuver colossal information servers infrastructure tolerate additionally benefited from the mighty application construction and administration capabilities offered by means of IDS and Server Studio.

"As a software developer and DBA, Server Studio is a device that i Take edge of day by day, and it's exactly what I exact from my tools -- good, legit, and strong," mentioned Sean Durity, manager of IT for CornerCap investment information. "Even the 'small' elements of Server Studio are huge timesavers. I cannot reflect about working with Informix and not the consume of Server Studio. I may not labor with anything less."

the relationship between AGS and IBM complete started in 2000 when IBM complete started distributing AGS' Server Studio as the fundamental database edifice and administration paraphernalia suite with Informix data servers. Product management, engineering and QA teams of both agencies labor intently on product direction, know-how construction and QA checking out of Server Studio and Sentinel.

"we are pleased with and significantly charge their strategic partnership with IBM. option of AGS facts servers' management solutions by using IBM is a testament to their industry-leading know-how," preeminent Anatole Vishon, CEO of AGS Ltd. "We reckon the a must-have magnitude of Informix, particularly in the retail, fiscal, telecommunications, healthcare, govt and SMB sectors. AGS is committed to supporting existing capabilities and establishing novel technologies for Informix facts servers so as to add charge for IBM shoppers."

Pricing and Availability

The liberate 6.1 of Server Studio and Sentinel can live organize now through IBM and AGS international. The Core edition of Server Studio is equipped by means of IBM to Informix customers at no further charge. Its fundamental functionality will furthermore live extended by means of buy of numerous top rate versions obtainable without detain from AGS.

additional information about Server Studio is accessible at: http://www.ibm.com/utility/statistics/informix/serverstudio/, or http://www.serverstudio.com/items/serverstudio/

more information about Sentinel is available at: http://www.ibm.com/software/facts/informix/sentinel/, or http://www.serverstudio.com/products/sentinel/

additional information about Informix Dynamic Server is available at: http://www.ibm.com/application/information/informix/ids/

AGS, Server Studio and Sentinel are logos or registered logos of superior international programs, Ltd. For an inventory of extra AGS trademarks, gratify remark http://www.ags.com

IBM, Informix Dynamic Server and the IBM e-enterprise emblem are emblems or registered emblems of overseas enterprise Machines service provider. For a list of extra IBM trademarks, gratify remark www.ibm.com/legal/copytrade.shtml

All different company, product or provider names may live trademarks or registered logos of others. Statements regarding IBM's future edifice plans and schedules are made for planning applications most effective, and are district to exchange or withdrawal devoid of live aware. Reseller fees may additionally fluctuate.


Fleet administration Market to Surpass US$ fifty one Billion Globally by 2024 | killexams.com true Questions and Pass4sure dumps

Feb 18, 2019 (Heraldkeeper by way of COMTEX) -- long island, February 19, 2019: The fleet administration market is expected to attain US$ fifty one.5 Billion by means of 2024; growing to live at a CAGR of greater than 23.50% in the given forecast period.

this may desist any groundless messing with them. it's going to likewise compose a proper back plan.within the sentiment of fleet administration, monitoring a car has two implications. The simple magnitude is preserving replete and an accurate record of every thing which concerns that car, from gasoline stops to any upkeep, whether it’s a driver fitting an extra fan belt out and about in a calamity or a replete administration. here's simple so peculiarities may furthermore live diagnosed and wondered. The 2nd significance basically is conscious of the status cars are. This responsibility has been made plenty simpler since the innovation of GPS and discharging it for open use.

Fleet Managements project is a set of responsibilities which is required to maintain fleet of vehicles working effectively. The principal accountability of any fleet administrator is to grasp what is truly in their fleet at any given time. this could no longer best just implies that the fleet administrator should tolerate a checklist of complete motors moreover but furthermore may still tolerate in an yardstick world that they must tolerate a checklist of the entire serial portions of the diverse key elements which establish with each and every of their vehicles.

Browse replete record: https://www.marketresearchengine.com/reportdetails/fleet-administration-market-file

The Fleet management Market has been segmented as beneath:

The Fleet management Market is segmented on the groundwork of reply type, Deployment type, carrier class, Connectivity category, upright analysis and Regional analysis. by using solution classification this market is segmented on the groundwork of Driver management, Asset administration and Operation administration.

by Deployment ilk this market is segmented on the basis of Hybrid, On premises and Cloud. via provider category this market is segmented on the foundation of Managed functions, Integration and deployment carrier and Managed capabilities. by means of Connectivity classification this market is segmented on the foundation of mobile device and satellite tv for pc device.

via upright analysis this market is segmented on the groundwork of construction, RetailEnergy and utilities, Transportation and logistics, govt and Manufacturing. by way of Regional analysis this market is segmented on the groundwork of North the usa, EuropeAPAC and leisure of the area.

This report offers:

1) an overview of the world marketplace for fleet management and linked applied sciences.2) Analyses of global market trends, with information from 2015, estimates for 2016 and 2017, and projections of compound annual boom costs (CAGRs) via 2022.three) determine the brand novel market alternatives and targeted promotional plans for fleet administration.four) discussion of research and building, and the exact for brand spanking novel items and novel purposes on the facts purchasable.5) finished industry profiles of predominant players in the trade to explore further viable gains.

Request pattern document from prerogative here: https://www.marketresearchengine.com/reportdetails/fleet-management-market-record

desk of Contents

1 INTRODUCTION

2 research Methodology

3 govt summary

four premium Insights

4.1 appealing Market opportunities in the Market4.2 Market with the aid of solution, 2016-20214.3 Fleet management Market: proper capabilities and Solutions4.four Lifecycle analysis, by means of Region4.5 Market funding scenario

5 Fleet administration Market Overview

6 industry trends

7 Fleet administration Market evaluation, by using Deployment class

8 Fleet administration Market analysis, by means of solution

9 Fleet management Market analysis, via Connectivity technology

10 Fleet administration Market analysis, with the aid of provider

eleven Fleet administration Market evaluation, by Vertical

12 Geographic analysis

13 competitive landscape

14 industry Profiles

14.1 Introduction

14.2 AT&T, Inc.

14.3 Cisco techniques, Inc.

14.4 Fleetmatics group PLC

14.5 IBM organization

14.6 Verizon Communications, Inc.

14.7 I.D. methods, Inc.

14.eight Trimble Navigation restrained

14.9 Telogis

14.10 Zonar methods

14.11 Workwave LLC

different related Market analysis experiences:

international Fish Finder device Market Key avid gamers, Share, developments, sales, Segmentation and Forecast through 2023

circulate Battery Market measurement is Projected to live round US$ 1.09 Billion by way of 2024

Media Contact

enterprise identify: Market analysis Engine

Contact grownup: John Bay

electronic mail:john@marketresearchengine.com

mobilephone: +1-855-984-1862

country: u.s.

web site: https://www.marketresearchengine.com/


IBM delivers next-technology DB2 8.2 Database | killexams.com true Questions and Pass4sure dumps

IBM supplies next-technology DB2 eight.2 Database

large Blue furthermore discloses plans to integrate its DB2 and Informix Dynamix Server product lines in future types of both products

  • by using Stephen Swoyer
  • 09/14/2004
  • IBM Corp. final week formally introduced the next unlock of its DB2 commonplace Database (UDB) edition eight.2, formerly code-named “Stinger.”

    IBM introduced the first beta of Stinger remaining fall, followed in can furthermore by means of a public beta preview. The ensuing DB2 eight.2 database—packing a bevy of efficiency and availability points, together with novel autonomic capabilities—will become often attainable this Friday.

    For the list, big Blue eventual delivered an gargantuan DB2 UDB supersede (edition eight.1) in November 2002—just weeks after it kicked off its eBusiness-On-Demand computing method.

    In light of IBM’s constant stress on utility or “on-demand” computing, then, it’s now not surprising that officials had been anxious to tout the autonomic credentials of the novel database. “These [autonomic] capabilities are via a long way the leading factor [of the DB2 8.2 release],” says Jeff Jones, director of approach for IBM’s data management options. “The concept is that with these [autonomic] capabilities, fewer DBA elements are required, and the DBA is allowed to accomplish other things, relish probably participate greater at design time, relish greater order detective work.”

    Jones says that the revamped database will gain it less demanding for DBAs to install, configure, keep, and optimize DB2 databases on the fly. during this appreciate, officers factor to superior types of tools such as DB2 Configuration marketing consultant and DB2 Design guide, which provide DBAs a wizard-like interface to customise DB2 for different application and information warehousing necessities. Configuration marketing consultant, for example, asks questions on what ilk of utility a DBA plans to roll out and the way many clients she expects to assist, after which tunes DB2 for this reason.

    similarly, the novel Design advisor lets DBAs extra simply tune DB2 because the database workload alterations, automate adjustments to the database constitution, and discharge tasks such as database backup and restoration. Jones says it may well live specially helpful in complicated-query environments.

    one of the vital largest novel features in the revamped DB2 is in keeping with expertise IBM developed for its gaining information of Optimization (LEO) analysis and edifice venture. in line with Jones, LEO helps to automate, simplify, and accelerate queries without requiring a DBA’s attention. The LEO technology additionally offers up-to-date query facts about database use, storage, and efficiency.

    nonetheless a different novel characteristic is what IBM calls query Patroller, which introduces a query-based chargeback facility. “It lets you really computer screen [and] Take note the freight of queries, so you can accomplish things relish chargeback. you can basically calculate how a august deal query time these departments are the consume of and freight them for it,” mentioned Paul Rivot, global director of database servers at IBM, in an interview this may.

    in other places, DB2 8.2 boasts a novel characteristic called Autonomic remonstrate preservation that automatically performs administration and upkeep features, corresponding to table alterations or facts backups.

    in complete probability fantastically, IBM’s DB2 eight.2 unencumber borrows heavily from applied sciences already blanketed within the Informix Dynamix Server, the thing-relational information shop IBM obtained with the purchase of Informix in 2001. for example, says Jones, the novel edition of DB2 aspects a talent referred to as Autonomic excessive-Availability-catastrophe-restoration (HADR) with autonomic client reroute, which supports computerized excessive-availability, catastrophe healing and customer reroute for clustered environments.

    “We’re hugely automating the assignment of developing failover pairs, lower back up methods, to fail to when a prime gadget dies,” he explains. “This became doable in the past with DB2, but it become fairly slightly more guide. turns out that Informix has a true rich, true efficacious capability, so they decided, let’s collect this going on DB2, as a result of this can vastly impact DB2.”

    HADR gives a wizard-like interface that lets DBAs “construct and installation this [clustering] talent and additionally the automated client re-route and the precise mechanical failover capabilities that are very quick and intensely computerized once whatever fails,” says Jones.

    On the BI entrance, Jones says, DB2 8.2 points an extra contribution from Informix Dynamix Server. “The different is the Geodetic Extender it really is an present aspect known as the Geodetic information Blade,” he confirms. because of its Geodetic Extender part, DB2 8.2 can save third-dimensional geospatial statistics that's each place- and time-and-house-aware. This duty should enchantment basically to clients in obvious verticals (govt, protection, and transportation, together with restaurant chains and retailers) that on occasion consume spatial facts to identify novel company opportunities, officers say.

    somewhere else in BI additions, Jones says consumers can consume DB2 cube Views to define OLAP-centric metadata—including hierarchies, dimensions, attributes, and enterprise guidelines or formulas—and shop it as a pellucid extension to DB2. within the revamped eight.2 unlock, this expertise has been tweaked to raise question performance.

    DB2 and Informix Dynamix to Merge in Subsequent Revisions

    IBM at the flash keeps part edifice groups for DB2 UDB and Informix Dynamix, but Jones says huge Blue has plans to merge both product strains in the future. “we tolerate the luxurious of having two edifice teams innovating simultaneously and sharing their improvements with one one more, with the most efficient direct of having the subsequent edition of DB2 and the next version of Informix Dynamix Server spin out to live being the equal issue,” he asserts.

    Jones features to IBM’s existing interoperability labor with both facts retailers, together with pass-statistics-type aid and SQL standardization, which, he says, will gain it possible emigrate from side to side between the two information stores. “The approach then is to aid Informix Dynamix Server and raise it via person requirements, however try this with a perennial eye to getting closer and closer to regular functionality with DB2,” says Jones, who provides “that is a means off.”

    in the close-term, says Jones, IBM will proceed to steer latest Informix Dynamix customers. “Informix Dynamic Server remains turning out to live and being superior. they now tolerate the Informix team nonetheless working on it, and we're assisting the Informix customer base,” he asserts.

    related Articles

    IBM presents Public Preview of “Stinger” DB2http://www.esj.com/information/article.asp?editorialsId=954

    IBM Database update activities BI-friendly Featureshttp://www.esj.com/business_intelligence/article.asp?id=7058&t=y

    about the writer

    Stephen Swoyer is a Nashville, TN-based mostly freelance journalist who writes about technology.


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    System and Administration: Informix Dynamic Server

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    IBM and AGS broadcast Availability of novel Solutions for Informix Dynamic Server | killexams.com true questions and Pass4sure dumps

    SOURCE: IBM

    July 05, 2007 12:00 ET

    New Server Studio and Sentinel R. 6.1 to Enable Rapid Adoption of IDS 11 "Cheetah"

    ARMONK, NY and novel YORK, NY--(Marketwire - July 5, 2007) - IBM (NYSE: IBM) and AGS Ltd., a privately held purveyor of management solutions for data servers, today announced that the novel Server Studio and Sentinel R. 6.1 -- the principal suite of integrated system management tools for IBM Informix Dynamic Server (IDS) -- is now available, with editions offered by both IBM and AGS.

    The IDS data server is a strategic ingredient of IBM's Information Management software portfolio and the recently announced IDS 11 -- code named Cheetah -- delivers increased performance, reliability and scalability, along with the talent to wield massive volumes of tangled data at very towering speeds. IDS 11 is furthermore the industry's first data server to provide clustered data centers with continuous data availability and calamity recovery regardless of the geographic location or distance between backup data headquarters sites.

    Server Studio and Sentinel together profile a powerful infrastructure of multi-platform tools that back both seasoned database professionals and novices alike manage IBM Informix data server environments with an unprecedented ease and productivity. aboriginal back of IDS 11 novel functionality in the Release 6.1 of Server Studio and Sentinel further enhances talent to deliver optimal performance, availability and maintainability of Informix databases throughout their entire operational life cycle.

    "Our long-term partnership with AGS underscores IBM's steadfast commitment to providing IDS clients with the performance optimization, availability and compliance management solutions they need," said Bernie Spang, director IBM data servers. "The novel Release 6.1 of Server Studio and Sentinel will back protect the investment that their customers tolerate made in their Informix data server infrastructures."

    The versatility, wealthy functionality and ease-of-use provided by Server Studio and Sentinel build on the legendary reliability and simple administration of IDS. The novel appliance set offered by AGS helps companies and organizations ensure that faultfinding database applications remain up and discharge at peak levels, allowing them to effectively manage change, wield regulatory compliance and assure availability of vital industry information.

    Bank of America recently selected Server Studio and Sentinel for its IDS environment -- one of the world's largest distributed data centers processing online fiscal transactions.

    "The latest release of Server Studio and Sentinel provide a collection of integrated, highly productive system management tools that developers and DBAs working with IBM's Informix data servers tolerate been demanding and waiting for. Informix now has very powerful graphical tools that exceed the capabilities of aboriginal and third party offerings available for any other database platform. yoke this with outstanding technical back and you collect products with excellent value and a quick ROI," said Kevin Kleinhomer, Vice President at Bank of America. "In their big distributed environment, Server Studio and Sentinel tolerate simplified and automated many DBA tasks. With these additions, IBM's Informix data servers tolerate been made significantly easier to administer and monitor."

    Server Studio provides a comprehensive collection of easy-to-use, proven tools for DBAs and developers that better efficiency of performing common database tasks such as: SQL evolution and debugging, schema management, configuration auditing and change management, performance tuning, data storage management and reorganization, security administration and more -- complete from an integrated graphical console that unites development, administration and maintenance activities for an entire Informix infrastructure at a central point of control.

    Sentinel provides 24 × 7 operational monitoring, alerting, issue discovery, analysis and autonomic response automation infrastructure for IBM Informix data servers' environment. It's effortless to deploy agent-less architecture equips DBAs with sophisticated diagnostics and remediation facilities which back pinpoint and resolve the underlying causes of performance bottlenecks and resources contention issues that adversely move databases' availability and impact pause users.

    Smaller companies and organizations that accomplish not tolerate big IT staffs to manage big data servers infrastructure tolerate furthermore benefited from the robust application evolution and administration capabilities provided by IDS and Server Studio.

    "As a software developer and DBA, Server Studio is a appliance that I consume every day, and it is exactly what I exact from my tools -- stable, reliable, and powerful," said Sean Durity, Manager of IT for CornerCap Investment Counsel. "Even the 'small' features of Server Studio are vast timesavers. I can't imagine working with Informix and not using Server Studio. I won't labor with anything less."

    The relationship between AGS and IBM began in 2000 when IBM began distributing AGS' Server Studio as the primary database evolution and administration tools suite with Informix data servers. Product management, engineering and QA teams of both companies labor closely on product direction, technology evolution and QA testing of Server Studio and Sentinel.

    "We are disdainful of and greatly value their strategic partnership with IBM. Selection of AGS data servers' management solutions by IBM is a testament to their industry-leading technology," said Anatole Vishon, CEO of AGS Ltd. "We understand the vital importance of Informix, particularly in the retail, financial, telecommunications, healthcare, government and SMB sectors. AGS is committed to supporting existing capabilities and developing novel technologies for Informix data servers to add value for IBM customers."

    Pricing and Availability

    The Release 6.1 of Server Studio and Sentinel are available now through IBM and AGS worldwide. The Core Edition of Server Studio is provided by IBM to Informix customers at no additional cost. Its basic functionality can live extended by purchase of various premium editions available directly from AGS.

    Additional information about Server Studio is available at: http://www.ibm.com/software/data/informix/serverstudio/, or http://www.serverstudio.com/products/serverstudio/

    Additional information about Sentinel is available at: http://www.ibm.com/software/data/informix/sentinel/, or http://www.serverstudio.com/products/sentinel/

    Additional information about Informix Dynamic Server is available at: http://www.ibm.com/software/data/informix/ids/

    AGS, Server Studio and Sentinel are trademarks or registered trademarks of Advanced Global Systems, Ltd. For a list of additional AGS trademarks, gratify remark http://www.ags.com

    IBM, Informix Dynamic Server and the IBM e-business logo are trademarks or registered trademarks of International industry Machines Corporation. For a list of additional IBM trademarks, gratify remark www.ibm.com/legal/copytrade.shtml

    All other company, product or service names may live trademarks or registered trademarks of others. Statements concerning IBM's future evolution plans and schedules are made for planning purposes only, and are theme to change or withdrawal without notice. Reseller prices may vary.


    Efficient Vehicle Tracking System Software Solution with Informix Dynamic Server | killexams.com true questions and Pass4sure dumps

    Nov 10, 2011

    Vaibhav Dantale

    Although  it is possible to develop an efficient Vehicle Tracking System using any database server, and many such solutions are already available in the market, Informix offers many advantages. Informix can reduce your disk space requirement, better your query performance, and reduce your application evolution efforts, without special training or buying additional technology. The built-in technologies of Informix will reduce your total cost of ownership, so if these benefits are necessary to you, sustain reading!

    A Vehicle Tracking System (VTS) tracks vehicles and provides different analytics, such as the total distance travelled, the total fuel consumption, the best routes, and so on. Certainly having more and more different kinds of alerts improves the efficiency of system. This system encompasses three phases of implementation: instrumentation, integration, and intelligence.

    Instrumentation: Each vehicle has a special device that records different parameters related to a vehicle, such as, speed, current location, fuel status, ignition status, and so on.

    Integration: Devices implemented in the realm transmit information through an integrated system that includes a GPRS system and stores the information in a database.

    Intelligence: The intelligence on the information collected from the realm is stored in a database, including different kinds of MIS reports, dashboards, current locations of vehicles, travel information, and reports of exceptions relish geo-fence violations and fuel theft.

    Some of the characteristics of a VTS are:

  • Information about vehicles is collected every few minutes or as often as every minute
  • The volume of the data is huge
  • Performance is critical
  • Accuracy of the data matters the most
  • The application logic is specific to the industry (for example, geo-fencing, distance calculations, and so on)
  • Now let's remark the advantages of Informix built-in technologies over the traditional relational approach.

    Disk Space Saving (62%)

    A vehicle tracking system collects the vehicle-related information, including a time stamp, with a specific frequency. Informix provides a data ilk that stores this ilk of time sequence information more efficiently than any traditional RDBMS approach. The following tables compare both approaches.

    Traditional RDBMS approach

    This table shows the structure of the tracking table in a traditional RDBMS.

    Vehicle number

    Timestamp

    Longitude

    Latitude

    Fuel

    Speed

    1

    2010-12-01 01:00:00.00000

    72.844060

    19.116280

    85.00

    40.00

    1

    2010-12-01 01:00:10.00000

    72.853800

    19.113470

    84.90

    39.00

    1

    2010-12-01 01:00:20.00000

    72.855000

    19.116560

    84.80

    42.00

    .

    .

    2

    2010-12-01 01:00:00.00000

    72.855370

    19.116570

    100.00

    45.00

    2

    2010-12-01 01:00:10.00000

    72.885120

    19.106000

    99.90

    45.00

    .

    .

    Informix TimeSeries data ilk approach

    Informix stores time sequence data in a specialized data type, called TimeSeries, which stores complete the time sequence data for a particular vehicle in the very row. Informix supports two different types of time series: regular time sequence that stores the data with a fixed frequency, and irregular time sequence that stores the data for capricious points in time. A regular time sequence is the most suitable for a VTS. In a regular time series, the time stamp is stored only once as the inception of the time sequence and the time stamps of the ease of the rows are calculated using the offset from the origin.

    This table shows the structure of the tracking table in Informix, using the TimeSeries data type.

    Vehicle number

    TimeSeries column

    1

    [(72.844060, 19.116280,85.00,40.00), (72.853800, 19.113470,84.90, 39.00)....]

    2

    [(72.855370, 19.116570, 100.00,45.00), (72.885120, 19.106000, 99.90, 45.00)..]

    ..

    ..

    The data for each vehicle is stored in contiguous disk space on a page.

     

    Traditional RDBMS approach

    We create the traditional RDBMS table for storing vehicle tracking information, called vehicle_tracking:

    create table vehicle_tracking

    (

       vehicle_number integer, - 4 (bytes)

       timestamp datetime year to fraction(5) - 11(bytes)

       longitude decimal(10,8), - 6(bytes)

       latitude decimal(10,8)     - 6(bytes)

       accelerate decimal(5,2) - 4(bytes)

    );

    We create an index on the vehicle_number and timestamp columns.

    Suppose they tolerate 10,000 vehicles to live tracked every minute and they requisite to store information for 90 days. Let's calculate the storage requirements.

    Record size                  = 4+11+6+6+4 = 31

    Record/slot overhead    = 4 bytes

    Total size of record       = 31 + 4 = 35 bytes

    Page overhead for maintaining page information = 28bytes per page

    Total free space on 2 K page size                                 = 2048-28 = 2020byte

    Total records on each page                                           = 2020/35=57

    Total number of records                                                = 10000*60*24*90 = 1296000000

    Total number of pages used                                          = 1296000000 / 57 = 22736842

    Total space required for data                                        = 22736842 * 2 KB = 43 GB

    Total space required for the index                                 =  34 GB

    The total space required for the vehicle_tracking table = 43 + 34 = 77GB

    Informix TimeSeries data ilk approach

    We create a TimeSeries data type, named vehicle_tracking_rt, and then create a table, named vehicle_tracking_ts, that includes the vehicle_tracking_rt column:

    create row ilk vehicle_tracking_rt

    (

       timestamp datetime year to fraction(5)

       longitude decimal(10,8),

       latitude decimal(10,8),

       accelerate decimal(5,2)

    );

     

    create table vehicle_tracking_ts

    (

       vehicle_number integer,

       vehicle_info timeseries(vehicle_tracking_rt)

    )

    We create an index on only the vehicle_number column.

    We store the vehicle number only once, hence the space required for the vehicle_number column = 10000*4 = 40000bytes=39 KB.

    We create the index on only the vehicle_number column, hence the total space required for the index = 10000*4=40000 bytes = 39 KB.

    We store the time stamp only once for each vehicle, hence the space required for the time stamp = 10000*11 = 110000 bytes = 107 KB.

    The space required for complete remaining columns is:

    Record size                  = 6+6+4 = 16

    Record/slot overhead    = 4 bytes

    Total size of record       = 16 + 4 = 20 bytes

    Page overhead for maintaining page information = 28bytes + 16 bytes slot overhead Total free space on 2 K page size                           = 2048-44 = 2004 bytes

    Total records on each page                                           = 2004/20=100

    Total number of pages used per vehicle per day =  1440 / 100 = 15

    Total pages used per day                                              = 10000*15 = 150000

    Total space required for data on first day                       = 150000 * 2 KB = 0.29 GB

    Daily increment in data                                      = 0.27 GB

    Total space required for data of 90 days                       = 25 GB

    The total space required for the vehicle_tracking_ts table = 25 GB +39 KB +29 KB+ 107 KB = 25 GB

    This is a 68% disc space saving compared to a traditional RDBMS approach.

    Performance (up to 54 times faster)

    Let's reckon few consume cases:

  • Fuel theft information
  • Geo-fence exceptions
  • Total fuel consumption
  • For complete of these consume cases, the application scans through the data for one day.

    Traditional RDBMS performance

    The report generation requires the following disk reads:

    At least 5 disk reads through the index to achieve to leaf nodes

    Each vehicle has 60*24 records per day = 1440

    Each vehicle needs 1440 non-cached disk reads

    Total non-cached distributed disk reads = 1440 * 10000 = 14.4 million

    Informix TimeSeries data ilk performance

    Because the index is only 39 KB, the scan application is minimal.

    Because the TimeSeries data ilk stores data in contiguous space on a page, for a 2 K page size each page contains at least 2004/20  = 100 rows.

    Each vehicle needs 1440/100 = 15 pages = 15 disk reads.

    Total non-cached distributed disk reads = (15+ 1) * 10000 = 160,000

    Comparison table:

    Space

    Performance

    Traditional RDBMS

    77GB

    8.64 million

    Informix TimeSeries type

    25GB

    160,000

    Benefit

    68% space saving

    54 times faster

    The advantages of using the Informix TimeSeries implementation are:

  • Disk space reduction:  almost 62% disc space saving
  • Performance improvement is multifold: up to 110 times faster
  • Faster development: Informix has more than 80 built-in SQL functions to discharge different operations on time sequence data, such as, aggregation, running average, slimming algorithms, interpolation and extrapolation, and so on.
  • Customized development: Informix provides C and Java APIs to let developers develop their own time sequence functions.
  • Application Development

    Because many operations in a VTS application are time based, the available built-in routines for the Informix TimeSeries data ilk makes evolution effortless and fast.

    If they want to remark the dispassionate accelerate of vehicle every 30 minutes, the RDBMS approach requires a big programming application and a performance challenge. Whereas, with the Informix TimeSeries data type, they consume the simple AggregateBy duty to roll-up the information to any required time frequency.

    If they want to remark the dispassionate accelerate of vehicle in eventual 30 days, the best manner is to examine its running dispassionate (not its gardenvariety average). Again, showing the running dispassionate accelerate of vehicles with the RDBMS approach is a vast programming and performance challenge. Whereas with the Informix TimeSeries data type, they consume the simple TSRunningAvg duty with the epoch and frequency that they want.

    Another basic requisite of VTS is storing location-related information. Location information can live in the profile of a point specifying the location of vehicle, a LineString specifying the route, or a Polygon specifying the geo-fence of the vehicle. The easiest way to wield this ilk of information is by using the Informix spatial data types. Informix spatial data types not only optimally maintain the data, but furthermore provide built-in routines that better the accuracy and ease the evolution of your solution.

    Let's examine the consume case of geo-fencing. Geo-fencing refers to the rehearse of limiting the vehicle movements to a specific geographical district by defining the latitude and longitude of the district in the profile of a LineString or polygon.

    A geo-fence system raises an alert if one of the vehicles leaves the fenced district and deviates from its designated route. This might betide because of the personal interest of the vehicle driver or because the vehicle is stolen.

    Traditional RDBMS approach

    We identify the different locations on the route the vehicle is suppositious to travel and insert multiple rows into a fence table, comprising information relish the vehicle ID and its location (latitude and longitude) information. If they requisite to track 200 different locations on the designated route for a particular vehicle, they insert 200 rows for that vehicle. To check if the vehicle is outside the fence area, they develop their own logic and sprint the cursor through these 200 rows to check if the current location is within any two points.

    To panoply the geo-fence on an online map, they create an XML file by running a cursor through complete 200 records and then parse through the XML to panoply each point on the map.

    Informix spatial data types approach

    We define a column called geofence in the master table with a data ilk of either polygon or LineString. They store complete 200 location co-ordinates in this separate column.

    To check if the vehicle is within the fence area, they consume the SQL duty ST_Within (curr_loc,geofence). If the duty returns "True," the vehicle is within the fence area; if it returns "False," the vehicle is outside the fence area.

    To panoply the geo-fence on an online map, they consume SE_askml(geofence) function, which creates a KML file that they can import into the map.

    Advantages of using Informix spatial data types

  • Faster development:  functions relish ST_within and SE_askml are readily available
  • Better performance: they don't requisite to sprint through multiple records
  • Assured accuracy:  they are using Open GIS Consortium-compliant function
  • More analytics: they can find the nearest location or the distance between any two locations using functions relish Nearest and ST_distance
  • Summary

    Systems relish a Vehicle Tracking System can live developed using any benign of database as a back-end. But using by the Informix TimeSeries and spatial built-in data types, the very system can live many times more efficient. The disk space saving of 60% and up to 54 times faster performance compared to traditional relational approach can enable you to increase the frequency of data collection, which means better accuracy.  The built-in functions for the  TimeSeries and spatial data types makes the application evolution chore easier and provides for increased accuracy.

    About the author:

    Vaibhav Dantale is a software engineer within IBM Information Management division. He has been working on Informix for eventual 12 years, in various development, QA and technical management roles. Currently, Dantale focuses on  evangelizing Informix product in ASIA Pacific region. He is one of the Informix TimeSeries technical experts and has been involved in several  customer engagements on Informix TimeSeries. He has patents under his denomination and is co-author of a red reserve on Informix security features.


    Database Administration: Creating the Database Environment | killexams.com true questions and Pass4sure dumps

    Establishing a usable database environment requires a august deal of skill, knowledge, and consideration. This chapter will profile the principles involved in establishing a usable database environment.

    This chapter is from the reserve 

    One of the primary tasks associated with the job of DBA is the process of choosing and installing a DBMS. Unfortunately, many industry executives and IT professionals without database management background assume that once the DBMS is installed, the bulk of the labor is done. The verity is, choosing and installing the DBMS is hardly the most difficult section of a DBA’s job. Establishing a usable database environment requires a august deal of skill, knowledge, and consideration. This chapter will profile the principles involved in establishing a usable database environment.

    The process of choosing a suitable DBMS for enterprise database management is not as difficult as it used to be. The number of major DBMS vendors has dwindled due to industry consolidation and domination of the sector by a few very big players.

    Yet, big and medium-size organizations typically sprint multiple DBMS products, from as few as two to as many as ten. For example, it is not uncommon for a big company to consume IMS or IDMS and DB2 on the mainframe, Oracle and MySQL on several different UNIX servers, Microsoft SQL Server on Windows servers, as well as pockets of other DBMS products such as Sybase, Ingres, Adabas, and PostgreSQL on various platforms, not to mention single-user PC DBMS products such as Microsoft Access, Paradox, and FileMaker. Who chose to install complete these DBMSs and why?

    Unfortunately, often the reply is that not much thought and planning went into the decision-making process. Sometimes the decision to purchase and install a novel DBMS is driven by a industry requisite or a novel application. This is reasonable if your organization has no DBMS and must purchase one for the first time. This is rarely the case, though. Regardless of whether a DBMS exists on-site, a novel DBMS is often viewed as a requirement for a novel application. Sometimes a novel DBMS product is purchased and installed without first examining if the application could live successfully implemented using an existing DBMS. Or, more likely, the DBAs know the application can live implemented using an existing DBMS but requisite the organizational power or back to reject a novel DBMS proposal.

    There are other reasons for the being of multiple DBMS platforms in a separate organization. Perhaps the company purchased a commercial off-the-shelf application package that does not sprint on any of the current DBMS platforms. Sometimes the decision to buy a novel DBMS is driven by the crave to back the latest and greatest technology. For example, many mainframe shops poignant from a hierarchic (IMS) or CODASYL (IDMS) database model to the relational model deployed DB2, resulting in an additional DBMS to learn and support. Then, when client/server computing became popular, additional DBMSs were implemented on UNIX, Linux, and Windows servers.

    Once a DBMS is installed, removal can live difficult because of incompatibilities among the different DBMSs and the necessity of converting application code. Furthermore, when a novel DBMS is installed, obsolete applications and databases are usually not migrated to it. The obsolete DBMS remains and must continue to live supported. This complicates the DBA’s job.

    So what should live done? Well, the DBA group should live empowered to gain the DBMS decisions for the organization. No industry unit should live allowed to purchase a DBMS without the authorization of the DBA group. This is a difficult provision to implement and even more difficult to enforce. industry politics often labor against the DBA group because it frequently possesses less organizational power than other industry executives.

    Choosing a DBMS

    The DBA group should set a policy regarding the DBMS products to live supported within the organization. Whenever possible, the policy should minimize the number of different DBMS products. For a shop with multiple operating systems and multiple types of hardware, pick a default DBMS for the platform. dispirit divergence from the default unless a compelling industry case exists—a industry case that passes the technical inspection of the DBA group.

    Most of the major DBMS products tolerate similar features, and if the feature or functionality does not exist today, it probably will within 18 to 24 months. So, exercise caution before deciding to pick a DBMS based solely on its talent to back a specific feature.

    When choosing a DBMS, it is sensible to select a product from a tier-1 vendor as listed in Table 2.1. Tier 1 represents the largest vendors having the most heavily implemented and supported products on the market. You cannot travel wrong with DB2 or Oracle. Both are accepted and back just about any ilk of database. Another major player is Microsoft SQL Server, but only for Windows platforms. DB2 and Oracle sprint on multiple platforms ranging from mainframe to UNIX, as well as Windows and even handheld devices. Choosing a DBMS other than these three should live done only under specific circumstances.

    Table 2.1. Tier-1 DBMS Vendors

    DBMS Vendor

    DBMS Product

    IBM Corporation

    DB2

    New Orchard Road

    Armonk, NY 10504

    Phone: (914) 499-1900

    Oracle Corporation

    Oracle

    500 Oracle Parkway

    Redwood Shores, CA 94065

    Phone: (650) 506-7000

    Microsoft Corporation

    SQL Server

    One Microsoft Way

    Redmond, WA 98052

    Phone: (425) 882-8080

    After the vast three near MySQL, Sybase, Teradata, and Informix. Table 2.2 lists these tier-2 DBMS vendors. complete of these offerings are property DBMS products, but their installed foundation is smaller, their products are engineered and marketed for niche purposes, or the companies are smaller with fewer resources than the vast Three (IBM, Oracle, and Microsoft), so there is some risk in choosing a DBMS from tier 2 instead of tier 1. However, there may live solid reasons for deploying a tier-2 solution, such as the towering performance offered by Informix or the data warehousing and analytics capabilities of Teradata.

    Table 2.2. Tier-2 DBMS Vendors

    DBMS Vendor

    DBMS Product

    IBM Corporation

    Informix Dynamic Server

    New Orchard Road

    Armonk, NY 10504

    Phone: (914) 499-1900

    Sybase Inc. (an SAP Company)

    Adaptive Server Enterprise

    6475 Christie Avenue

    Emeryville, CA 94608

    Phone: (510) 922-3500

    Teradata Corporation

    Teradata

    10000 Innovation Drive

    Dayton, OH 45342

    Phone: (937) 242-4030

    MySQL (a subsidiary of Oracle Corporation)

    MySQL

    Phone: (208) 338-8100

    Of course, there are other DBMS products on the market, many of which are fine products and worthy of consideration for specialty processing, inescapable predefined needs, and niche roles. If your company is heavily into the open-source software movement, PostgreSQL, EnterpriseDB, or MySQL might live viable options. If an remonstrate DBMS is necessary for a specific project, you might reckon ObjectDesign or Versant. And there are a variety of NoSQL DBMS offerings available, too, such as Hadoop, Cassandra, and MongoDB.1

    However, for the bulk of your data management needs, a DBMS from a tier-1, or perhaps tier-2, DBMS vendor will deliver sufficient functionality with minimal risk. A myriad of DBMS products are available, each with inescapable features that gain them worthy of consideration on a case-by-case basis. Choosing any of the lower-tier candidates—even such major names as Software AG’s Adabas and Actian’s Ingres—involves incurring additional risk. advert to Appendix B for a list of DBMS vendors.

    I accomplish not want it to sound as if the selection of a DBMS is a no-brainer. You will requisite a strategy and a plot for selecting the appropriate DBMS for your specific situation. When choosing a DBMS, live positive to reckon each of these factors:

  • Operating system support. Does the DBMS back the operating systems in consume at your organization, including the versions that you are currently using and plot on using?
  • Type of organization. Take into consideration the corporate philosophy when you pick a DBMS. Some organizations are very conservative and relish to sustain a tense rein on their environments; these organizations minister to gravitate toward traditional mainframe environments. Government operations, fiscal institutions, and insurance and health companies usually minister to live conservative. More-liberal organizations are often willing to reckon alternative architectures. It is not uncommon for manufacturing companies, dot-coms, and universities to live less conservative. Finally, some companies just accomplish not confidence Windows as a mission-critical environment and prefer to consume UNIX; this rules out some database vendors (Microsoft SQL Server, in particular).
  • Benchmarks. What performance benchmarks are available from the DBMS vendor and other users of the DBMS? The Transaction Processing Performance Council (TPC) publishes official database performance benchmarks that can live used as a guideline for the basic overall performance of many different types of database processing. (Refer to the sidebar “The Transaction Processing Performance Council” for more details.) In general, performance benchmarks can live useful as a broad indicator of database performance but should not live the only determinant when selecting a DBMS. Many of the TPC benchmarks are sprint against database implementations that are not representative of most production database systems and therefore are not indicative of the actual performance of a particular DBMS. In addition, benchmarks are constantly updated to interpret novel and improved performance measurements for each of the major DBMS products, rendering the benchmark “winners” obsolete very quickly.
  • Scalability. Does the DBMS back the number of users and database sizes you intend to implement? How are big databases built, supported, and maintained—easily or with a lot of pain? Are there independent users who can validate the DBMS vendor’s scalability claims?
  • Availability of supporting software tools. Are the supporting tools you require available for the DBMS? These items may comprehend query and analysis tools, data warehousing back tools, database administration tools, backup and recovery tools, performance-monitoring tools, capacity-planning tools, database utilities, and back for various programming languages.
  • The Transaction Processing Performance Council is an independent, not-for-profit organization that manages and administers performance benchmark tests. Its mission is to define transaction processing and database benchmarks to provide the industry with objective, verifiable performance data. TPC benchmarks measure and evaluate computer functions and operations.

    The definition of transaction espoused by the TPC is a industry one. A typical TPC transaction includes the database updates for things such as inventory control (goods), airline reservations (services), and banking (money).

    The benchmarks produced by the TPC measure performance in terms of how many transactions a given system and database can discharge per unit of time, for example, number of transactions per second. The TPC defines three benchmarks:

  • TPC-C, for planned production workload in a transaction environment
  • TPC-H, a decision back benchmark consisting of a suite of business-oriented ad hoc queries and concurrent data modifications
  • TPC-E, an updated OLTP workload (based on fiscal transaction processing)
  • Additional information and in-depth definitions of these benchmarks can live organize at the TPC Web site at www.tpc.org (see figure 2.1).

  • Technicians. Is there a sufficient supply of skilled database professionals for the DBMS? reckon your needs in terms of DBAs, technical back personnel (system programmers and administrators, operations analysts, etc.), and application programmers.
  • Cost of ownership. What is the total cost of ownership of the DBMS? DBMS vendors freight wildly varying prices for their technology. Total cost of ownership should live calculated as a combination of the license cost of the DBMS; the license cost of any required supporting software; the cost of database professionals to program, support, and administer the DBMS; and the cost of the computing resources required to operate the DBMS.
  • Release schedule. How often does the DBMS vendor release a novel version? Some vendors tolerate rapid release cycles, with novel releases coming out every 12 to 18 months. This can live righteous or bad, depending on your approach. If you want cutting-edge features, a rapid release cycle is good. However, if your shop is more conservative, a DBMS that changes frequently can live difficult to support. A rapid release cycle will cause conservative organizations either to upgrade more frequently than they would relish or to live with outdated DBMS software that is unlikely to tolerate the very plane of back as the latest releases.
  • Reference customers. Will the DBMS vendor supply current user references? Can you find other users on your own who might provide more impartial answers? speak with current users to elicit issues and concerns you may tolerate overlooked. How is support? Does the vendor respond well to problems? accomplish things generally labor as advertised? Are there a lot of bug fixes that must live applied continuously? What is the property of novel releases? These questions can live answered only by the folks in the trenches.
  • When choosing a DBMS, live positive to Take into account the complexity of the products. DBMS software is very tangled and is getting more tangled with each novel release. Functionality that used to live supported only with add-on software or independent programs is increasingly being added as features of the DBMS, as shown in figure 2.2. You will requisite to plot for and back complete the features of the DBMS. Even if there is no current requirement for inescapable features, once you implement the DBMS the programmers and developers will find a understanding to consume just about anything the vendor threw into it. It is better to plot and live prepared than to allow features to live used without a plot for supporting them.

    Figure 2.2

    Figure 2.2. Convergence of features and functionality in DBMS software

    DBMS Architectures

    The supporting architecture for the DBMS environment is very faultfinding to the success of the database applications. One wrong altenative or poorly implemented component of the overall architecture can cause penniless performance, downtime, or unstable applications.

    When mainframes dominated enterprise computing, DBMS architecture was a simpler concern. Everything ran on the mainframe, and that was that. However, today the IT infrastructure is distributed and heterogeneous. The overall architecture—even for a mainframe DBMS—will probably consist of multiple platforms and interoperating system software. A team consisting of industry and IT experts, rather than a separate person or group, should gain the final architecture decision. industry experts should comprehend representatives from various departments, as well as from accounting and legal for software compress issues. Database administration representatives (DA, DBA, and SA), as well as members of the networking group, operating system experts, operations control personnel, programming experts, and any other interested parties, should live included in this team.

    Furthermore, live positive that the DBMS you select is appropriate for the nature and ilk of processing you plot to implement. Four levels of DBMS architecture are available: enterprise, departmental, personal, and mobile.

    An enterprise DBMS is designed for scalability and towering performance. An enterprise DBMS must live capable of supporting very big databases, a big number of concurrent users, and multiple types of applications. The enterprise DBMS runs on a large-scale machine, typically a mainframe or a high-end server running UNIX, Linux, or Windows Server. Furthermore, an enterprise DBMS offers complete the “bells and whistles” available from the DBMS vendor. Multiprocessor support, back for parallel queries, and other advanced DBMS features are core components of an enterprise DBMS.

    A departmental DBMS, sometimes referred to as a workgroup DBMS, serves the middle ground. The departmental DBMS supports tiny to medium-size workgroups within an organization; typically, it runs on a UNIX, Linux, or Windows server. The dividing line between a departmental database server and an enterprise database server is quite gray. Hardware and software upgrades can allow a departmental DBMS to tackle tasks that previously could live performed only by an enterprise DBMS. The steadily falling cost of departmental hardware and software components further contributes to lowering the total cost of operation and enabling a workgroup environment to scale up to serve the enterprise.

    A personal DBMS is designed for a separate user, typically on a low- to medium-powered PC platform. Microsoft Access, SQLite, and FileMaker2 are examples of personal database software. Of course, the major DBMS vendors furthermore market personal versions of their higher-powered solutions, such as Oracle Database Personal Edition and DB2 Personal Edition. Sometimes the low cost of a personal DBMS results in a misguided attempt to pick a personal DBMS for a departmental or enterprise solution. However, accomplish not live lured by the low cost. A personal DBMS product is suitable only for very small-scale projects and should never live deployed for multiuser applications.

    Finally, the mobile DBMS is a specialized version of a departmental or enterprise DBMS. It is designed for remote users who are not usually connected to the network. The mobile DBMS enables local database access and modification on a laptop or handheld device. Furthermore, the mobile DBMS provides a mechanism for synchronizing remote database changes to a centralized enterprise or departmental database server.

    A DBMS designed for one ilk of processing may live ill suited for other uses. For example, a personal DBMS is not designed for multiple users, and an enterprise DBMS is generally too tangled for separate users. live positive to understand the differences among enterprise, departmental, personal, and mobile DBMS software, and pick the appropriate DBMS for your specific data-processing needs. You may requisite to pick multiple DBMS types—that is, a DBMS for each level—with usage determined by the needs of each evolution project.

    If your organization requires DBMS solutions at different levels, favor the selection of a group of DBMS solutions from the very vendor whenever possible. Doing so will minimize differences in access, development, and administration. For example, favor Oracle Database Personal Edition for your single-user DBMS needs if your organization uses Oracle as the enterprise DBMS of choice.

    DBMS Clustering

    Clustering is the consume of multiple “independent” computing systems working together as a single, highly available system. A modern DBMS offers clustering back to enhance availability and scalability. The two predominant architectures for clustering are shared-disk and shared-nothing. These names accomplish a righteous job of describing the nature of the architecture—at least at a towering level.

    Shared-nothing clustering is depicted in figure 2.3. In a shared-nothing architecture, each system has its own private resources (memory, disks, etc.). The clustered processors communicate by passing messages through a network that interconnects the computers. In addition, requests from clients are automatically routed to the system that owns the resource. Only one of the clustered systems can “own” and access a particular resource at a time. In the event a failure occurs, resource ownership can live dynamically transferred to another system in the cluster. The main edge of shared-nothing clustering is scalability. In theory, a shared-nothing multiprocessor can scale up to thousands of processors because they accomplish not interfere with one another—nothing is shared.

    In a shared-disk environment, complete the connected systems share the very disk devices, as shown in figure 2.4. Each processor still has its own private memory, but complete the processors can directly address complete the disks. Typically, shared-disk clustering does not scale as well for smaller machines as shared-nothing clustering. Shared-disk clustering is better suited to large-enterprise processing in a mainframe environment. Mainframes—very big processors—are capable of processing gargantuan volumes of work. august benefits can live obtained with only a few clustered mainframes, while many PC and midrange processors would requisite to live clustered to achieve similar benefits.

    Shared-disk clustering is usually preferable for applications and services requiring only modest shared access to data and for applications or workloads that are very difficult to partition. Applications with weighty data update requirements are probably better implemented as shared-nothing. Table 2.3 compares the capabilities of shared-disk and shared-nothing architectures.

    Table 2.3. Comparison of Shared-Disk and Shared-Nothing Architectures

    Shared-Disk

    Shared-Nothing

    Quick adaptability to changing workloads

    Can exploit simpler, cheaper hardware

    High availability

    Almost unlimited scalability

    Performs best in a weighty read environment

    Works well in a high-volume, read-write environment

    Data requisite not live partitioned

    Data is partitioned across the cluster

    The major DBMS vendors provide back for different types of clustering with different capabilities and requirements. For example, DB2 for z/OS provides shared-disk clustering with its Data Sharing and Parallel Sysplex capabilities; DB2 on non-mainframe platforms uses shared-nothing clustering. Oracle’s true Application Clusters provide shared-disk clustering.

    For most users, the primary benefit of clustering is the enhanced availability that accrues by combining processors. In some cases, clustering can back an enterprise to achieve five-nines (99.999 percent) availability. Additionally, clustering can live used for load balancing and failover.

    DBMS Proliferation

    As a rule of thumb, create a policy (or at least some simple guidelines) that must live followed before a novel DBMS can live brought into the organization. Failure to accomplish so can cause a proliferation of different DBMS products that will live difficult to support. It can furthermore cause confusion regarding which DBMS to consume for which evolution effort.

    As mentioned earlier, there is a plethora of DBMS vendors, each touting its benefits. As a DBA, you will live bombarded with marketing and sales efforts that attempt to convince you that you requisite another DBMS. Try to resist unless a very compelling understanding is given and a short-term return on investment (ROI) can live demonstrated. Even when confronted with cogent reasons and righteous ROI, live positive to double-check the arguments and ROI calculations. Sometimes the reasons specified are outdated and the ROI figures accomplish not Take everything into account—such as the additional cost of administration.

    Remember, every DBMS requires database administration support. Moreover, each DBMS uses different methods to discharge similar tasks. The fewer DBMS products installed, the less complicated database administration becomes, and the better your chances become of providing efficacious data management resources for your organization.

    Hardware Issues

    When establishing a database environment for application development, selecting the DBMS is only section of the equation. The hardware and operating system on which the DBMS will sprint will greatly impact the reliability, availability, and scalability (RAS) of the database environment. For example, a mainframe platform such as an IBM zEC12 running z/OS will probably provide higher RAS than a midrange IBM xSeries machine running AIX, which in spin will probably exceed a Dell server running Windows. That is not to disclose everything should sprint on a mainframe; other issues such as cost, experience, manageability, and the needs of the applications to live developed must live considered. The bottom line is that you must live positive to factor hardware platform and operating system constraints into the DBMS selection criteria.

    Cloud Database Systems

    Cloud computing (see the sidebar) is increasing in usage, especially at tiny to medium-size businesses. A cloud implementation can live more cost-effective than edifice an entire local computing infrastructure that requires management and support.

    A cloud database system delivers DBMS services over the Internet. The trade-off essentially comes down to trusting a cloud provider to store and manage your data in return for minimizing database administration and maintenance cost and effort. Using cloud database systems can enable organizations, especially smaller ones without the resources to invest in an enterprise computing infrastructure, to focus on their industry instead of their computing environment.

    By consolidating data sources in the cloud, it is possible to better collaboration among partners, arm offices, remote workers, and mobile devices, because the data becomes accessible as a service. There is no requisite to install, set up, patch, or manage the DBMS software because the cloud provider manages and cares for these administrative tasks. Of course, the downside is that your data is now stored and controlled by an external agent—the cloud provider. Another inherent risk of cloud computing is the possibility of nefarious agents posing as legitimate customers.

    An specimen of a cloud database platform is Microsoft SQL Azure. It is built on SQL Server technologies and is a component of the Windows Azure platform.



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