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Test Code : C2160-667
Test appellation : IBM Test667, Architectural Design of SOA Solutions
Vendor appellation : IBM
: 105 real Questions

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IBM IBM Test667, Architectural Design

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Having lined the routine headers in SQL Server in the outdated stage, Joe tackles the theme of the contents of saved methods. during this degree, he outlines barriers of TSQL as a procedural language, and what you should retain in reason when identifying how to expend them.

In degrees one to four, they built the tables, groundwork and virtual, of a schema. however they believe been no longer accomplished as a result of a schema is greater than that. In a real database there are greater constructions to trust. amongst these other schema smooth things are: cursors, triggers and kept techniques. There are extra things infatuation collations, translations, privileges and suchlike, too. i'm going to deal with best these three issues – cursors, triggers and stored strategies – I named and most efficacious in customary ways. T-SOL and different products can win totally proprietary inspite of the ANSI/ISO requirements. The intent is fundamental; these believe been issues that had been built on reform of the preexisting file programs that early SQL products used. These procedural constructs had been ways of creating up for the inability of declarative code within the traditional items. The carriers believe clients who are locked into this “code museum” nowadays and cannot abandon their customer base.

In degree 5, they discussed what the header for a manner has in it and how it really works as if it were a black field. In degree Six, they will appear to subsist interior that black container.

SQL allows for procedural code modules to subsist kept in the schema. while there's a SQL/PSM (Persistent stored Module) language in commonplace SQL, you are going to doubtless expend a proprietary vendor language infatuation T-SQL. These proprietary languages are usually individuals of the C and Algol family unit; that subsist primary they've an IF-THEN-ELSE, a long time loop and start-end blocks with scoping guidelines.

almost total these proprietary languages were certainly not intended for expend for purposes building. The guidelines of thumb for T-SOL aren't to assign in writing any routine over 50 traces (one page) and not to expend PRINT. however truly, you might tarry away from total set oriented programming, deal each and every desk infatuation a file and code as if the database is a procedural file gadget. You could additionally favor nails into your constitution if you infatuation pain.

T-SQL is an facile one-pass compiler. here is why you ought to prefix local variables and parameters with @ (also known as at-signal, “snail” or “petite escargot”), gadget stage variables with @@ and temporary tables with # (hash, octothrope or “number sign”) and ##. Multi-flow compilers build an emblem table and then learn things about program objects with every circulate. A one-flow compiler has to subsist told what to enact with a brand fresh image when it finds it for the first time. thus @ says “allocate local storage for me” , @@ says “search for me backyard the software, i'm global to it”, # says “create me in tempdb for the session” and ## says “creaet and persist me in tempdb” as quickly as they're parsed. anything else is assumed to subsist defined within the DDL.

You can not foretell T-SQL to enact procedural code optimization. That requries discrete passes. for example, most FORTRAN compilers were written to enact mathematcal optimizations the usage of algebra. The F and G chain from IBM believe been a quick compile with unique errors messages for college kids and a sluggish but optimized for efficiency for creation work.

as soon as of the classic IT stories in the 1960’s changed into a DoD (branch of protection) check of IBM and Univac FORTRAN compilers. The IBM compiler ran for a very long time, produced a compact executable module and produced the reform respond promptly when it ran. The Univac compiler ran for a very long term, produced a tiny executable module, which contained one WRITE statement that printed the privilege respond immediately. The gimmick? The sample difficulty changed into a set of calculations that involved capabilities and their inverses that would cancel out. The factor become to examine floating ingredient rounding error. The Univac FORTRAN compiler had sucessfully paired the services and their inverses, accomplished the algebra and produced the respond as a constant.

steer clear of float and real in T-SQL. These are the same statistics class in T-SQL, but not in common SQL. The difficulty is that travel with the flow wants special coping with to evade rounding mistakes and enact to comparisons. there is a really reason that they are referred to as aproximate numeric data types. This special managing must subsist either built into the software or (greater) a allotment of the hardware, which means you want a floating point processor. Likewise, your boss is not more likely to install a video video game pictures chip set for your computing device both. Servers for commerical purposes don't continually need these costly points, no count how lots enterprise time you expend playing Halo or Doom at work.

however although the chips had been low cost, you cannot reasonably foretell T-SQL to enact this sort of mathematical optimization. SQL is an information retrieval and management language and never meant for computations. What you are looking to write is superb queries that win the records to scurry to a statistical kit, a document writer or different really superb equipment.

in order for you decimal locations, then expend DECIMAL(s,p) information kinds. They work just high-quality and they port. The trick is to provide your self satisfactory decimal areas to win arrogate rounding. That capacity you should subsist watchful of the standards of your trade. In selected, if you work with Euros then you definately deserve to learn about “euro triangulation”, the suggestions for currency converations and bookkeeping.

it is most efficacious to enact a bit algebra yourself and to retain the mathematics so simple as feasible. The identical advice applies to string and temporal records.

T-SQL has a characteristic library that's based on C. here is why it makes expend of % as a substitute of the regular MOD() characteristic.

once again, SQL is a lore retrieval and management language and not supposed for entrance-conclusion reveal. win the records together in SQL statistics kinds and scurry them “over the wall” to front finish classes, akin to report writers and snap shots programs, to do it peruse pretty.

however because procedural languages are welded to their files, programmers grew up writing monolithic programs. COBOL is nothing but personality strings and display templates. FORTRAN has its layout observation. versions of fundamental believe realistic alternatives the usage of #’s and other symbols. Even a low degree language infatuation C has intricate formatting alternate options in its printf() characteristic!

The thought of a tiered architecture is awfully complicated for a lot of programmers after dyers of procedural language programming. truly, you'll nevertheless hear protests that “I might enact that within the database and shop time!” nowadays.

every now and then that is right. however greater frequently than not, it's a False saving. The monitor formatting will obstruct the optimizer from using indexes on the groundwork columns. The front finish will then disassemble the formatted columns returned to their supply facts or to one more layout. The real loss is that the code is more durable to retain in comparison to yardstick rows with primary statistics forms in their columns.

Let me given two yardstick examples. the expend of the proprietary CONVERT() duty to do a temporal statistics classification privilege into a string for monitor. Let the applications enact this for you; they believe feature libraries for this. You enact not need to subsist concerned about country wide settings or applicable rounding (which will also subsist an software with the aid of application design resolution). The worst expend of CONVERT() is for string manipulations, if in case you believe the DATEPART() and solid() capabilities. peruse for code where two dates are became into strings, then the strings are in comparison.

The 2d common instance is assembling a complete identify from the surname and firstname. This prevents the usage of an index on the surname, gives the entrance finish the difficulty of re-formatting it for accessible house and rules. you will perceive entrance conclusion code that flips the appellation around to (firstname, surname) order for monitor.

Structured programming truly has mathematical proofs of correctness. that you would subsist able to and may examine Dijkstra, Wirth and Manna. here's conception that in reality helps you software. Declarative programming is not yet at that factor. however they can give you heuristics. These are issues to try in case you perceive a selected situations; they don't appear to subsist legal guidelines of the universe, just the manner the sensible funds bets.

I believe a two allotment chain on this theme (see references) which gives examples of procedural, semi-procedural and declarative programing styles. however for now, let me supply a quick list of “excessive smooth recommendations” that may help.

The greater work you can enact in one SQL observation devoid of the expend of T-SQL movement handle, the improved the code will likely work. therefore, in case your manner constitution has two or more references to the same table, you could doubtless mingle them and entry that desk handiest once.

that you can enact away with lots of IF-THEN-ELSE control superb judgment with CASE expressions. before the CASE expression, there were sudden pitfalls in attempting to apply procedural superb judgment to SQL. The basic instance is an supplant statement that turned into a allotment of Sybase/SQL Server classes for a long time. you believe a bookshop and wish to change the expenses of the books. Any booklet over $25 might subsist discounted through 10% (we are able to advertise that) and books beneath $25 could subsist multiplied by using 15% (we are able to now not promote that).

The traditional structured programming reply in a pseudo-code skeleton is:


OPEN FILE (bookstall);

read (price) FROM bespeak shop;

whereas no longer EOF (bookstall)

DO begin

   IF fee < 25.00

   THEN update Books SET cost = cost * 1.10

   ELSE supplant Books SET rate = cost * 0.eighty five;

   FETCH next bookstore;

   conclusion IF;

end whereas;

shut FILE (bookstore);



This works and can subsist effortlessly transformed from pseudo-code to a cursor. The universal first trouble in simple SQL is that this:



replace Books

   SET cost = cost * 1.10

 the spot fee < 25.00;

update Books

   SET rate = rate * 0.85

 the spot rate >= 25.00;


nevertheless it does not work! study a publication that sells for $24.95 currently. Its rate jumps to $27.forty five when the first update is accomplished. however once they enact the 2d replace, the fee goes total the passage down to $23.33 finally. That isn't what they supposed to do. Flipping the updates does not assist; a booklet on the cusp can also subsist updated twice.

This became the classic dispute for cursors. They had every benign of horrible distinctive desk scan strategies for this sort of problem in these days. nowadays, they now believe the CASE expression, which is declarative and makes one desk scan.

replace Books

   SET price

       = CASE

         WHEN cost < 25.00

         THEN cost * 1.10

         ELSE fee * 0.85


This heuristic has two materials:

  • seem for the same desk to show in multiple statements; there is an outstanding possibility they can also subsist mixed.
  • If the statements are managed with IF-THEN-ELSE, are attempting to exchange the branches with CASE expressions interior a lone remark.
  • This equal heuristic applies to INSERT INTO statements. One sort of here's to insert an preparatory set of rows, adopted by using a selected set of rows. The skeleton is infatuation this:

    INSERT INTO Foobar (..) VALUES(..);

    INSERT INTO Foobar opt for .. FROM.. where..;


    that can commonly subsist written as:

    INSERT INTO Foobar (..)

    (choose X.* FROM (VALUES (..)) AS X)


     opt for .. FROM.. where..;

    once more CASE expressions will also subsist used internal the choose statements.

    in total probability the gold yardstick illustration of this heuristic is the MERGE statement, which lets youy combine INSERTs and UPDATEs into one observation. i cannot focus on it privilege here, however imply strongly that you examine up on it.

    T-SQL has to earmark autochthonous variables and they are very regularly no longer mandatory. a yardstick pattern is:

    CREATE feature Foobar (..)

    RETURNS <information classification>



    DECLARE @local_return_holder <data category>;

    SET @local_return_holder

        = <scalar question>:



    Which could believe been conveniently:

    CREATE duty Foobar (..)

    RETURNS <facts type>



    RETURN (<scalar query>);


    The other disadvantage of autochthonous variables is that they can cover expressions from the optimizer.


    SET @local_x = (<scalar question>); — has to load local variable


    <statement using @local_x>;


    might believe been:



    <statement the usage of (<scalar question>)>; –optimizes entire expression


    that you can also nest duty calls rather than doing step-by means of-step processing with middleman consequences stored in local variables. certainly one of my favourite examples of this is edifice a sequence of substitute() calls infatuation this:

     SET @x = substitute (@x, ‘a’, ‘A’);

     SET @x = supplant (@x, ‘B’, ‘b’);

     and many others

    in the event you can travel 32 levels profound with supplant (exchange..(substitute (@x, ‘z’, ‘Z’) ..))

    you probably believe difficulty with the thought, consult with a LISP programmer. That total language is nothing but nested capabilities calls.

    There are a lot of different tricks to obviate row-through-row processing. as an instance, devoid of going into details, a for-loop can regularly subsist replaced with a join to a collection table. A chain table is a group of integers from one to a few higher limit.

    using IF-THEN logic in a system to clear up data at run time is commonly an indication that you simply really want a determine() within the DDL to avoid it from being unhealthy in the first place. for example:

     SET T.x = COALESCE (T.x, 0);

     IF (x > 12)..;

    can subsist an indication that you simply need to believe defaults and constraints on some column. trade “x INTEGER” to whatever infatuation this in its table:

    CREATE desk T


      x INTEGER DEFAULT 0 no longer NULL

         check (x BETWEEN 0 AND 12),


    hold external languages outdoor of the schema. it's tough enough to retain SQL with out including different languages to the combine. What enact you enact in the event you find a CLR module in a language you don’t recognize? They may not follow the same definitions of such basic services as MOD(), SUBSTRING() and arithmetic rounding. My favorite illustration is the ameliorations between C# and VB, two Microsoft proprietary languages that enact harmonize on the illustration of Booleans.



    IBM's POWER9 Processor: What You need to know | killexams.com real Questions and Pass4sure dumps

    photo source: IBM.

    for the time being, Intel (NASDAQ:INTC) is the undisputed king of the statistics core. The industry enjoys a close-monopoly in the server chip market, allowing its records middle segment to generate astonishing profits. sober competitors is on the horizon: AMD will launch fresh server chips next 12 months, and a lot of agencies are trying to do ARM-based mostly chips conceivable for information core functions. but the greatest danger to Intel may well subsist overseas industry Machines (NYSE:IBM).

    IBM, which sells high priced mainframe systems and excessive-end servers constructed around its energy processors, absolutely neglected the boat on the rapid tower of hyperscale statistics facilities. main cloud and web businesses regularly design their personal systems to answer their selected wants, and Intel chips were the most efficacious real alternative for years.

    The OpenPOWER basis, begun by means of IBM in 2013 and now boasting greater than one hundred fifty member companies, aims to open up IBM's dash architecture and create a doable option to Intel in the facts center. there is been tedious and constant growth, with third-party dash servers now available. but the subsequent generation of IBM's chips, POWER9, may subsist the actual examine of IBM's strategy to win returned participate within the records core market.

    IBM's intention is to obtain a ten% to 20% participate of each the high-performance computing and hyperscale statistics middle markets. The enterprise is ranging from near to zero in both markets, so it'll actually subsist an uphill climb. The first rate word is that the POWER9 processor, set to subsist launched total the passage through the 2d half of next 12 months, has the talents to subsist online game changer for IBM.

    IBM's dash processors are tremendously parallel, helping as much as eight threads per core. each POWER9 processor is anticipated to arrive with up to 24 cores, making the chip just privilege for purposes that profit from being run in parallel. energy 9 is expected to subsist developed on a 14-nanometer technique, which will advocate narrow Intel's manufacturing abilities.

    details beyond the basics are scarce, but IBM has already managed to win two primary POWER9 deals. back in November 2014, IBM introduced that the U.S. department of energy had chosen IBM's POWER9 processors to energy two of its upcoming supercomputers. Summit, the greater of the two, can subsist capable of 200 petaflops of height processing power, which might comfortably do it the quickest supercomputer on this planet when or not it's delivered in 2018.

    together with IBM's POWER9 chips, peak could subsist accelerated with NVIDIA's (NASDAQ:NVDA) next-gen Volta GPUs. NVIDIA became a founding member of the OpenPOWER groundwork, and its NVLink expertise, which allows for for CPUs and GPUs to trade records at a faster rate, become contributed to the foundation and is supported via IBM's processors. NVIDIA presently dominates the marketplace for accelerators, however Intel is now shipping a competing product that has a pretty superb possibility at profitable some market share.

    whereas the supercomputer deal is a one-off event, the recent announcement that Alphabet's (NASDAQ:GOOGL) Google and Rackspace believe been developing a server architecture in response to IBM's POWER9 processors has broader implications. Google's intention is to do its infrastructure structure-agnostic, giving it the liberty to opt for the processor that most closely fits its wants. At this point, Google's complete toolchain helps the dash structure, and with the company also being a founding member of the OpenPOWER basis, it seems doubtless that POWER9 processors will finally learn their passage into Google's facts centers.

    Given how a distinguished deal cloud and cyber web companies infatuation Google expend on server processors each yr, there may subsist a gigantic incentive to believe options beyond Intel. IBM's POWER9 processor is certainly one of a number of threats that Intel's records focus company will should purchase reliance of in the coming years. Intel is not going to lose its crown as the king of the records middle each time quickly, but there's a pretty superb haphazard that IBM can carve out a portion for itself.

    Why IBM will invest billions at SUNY Poly campus on augmented intelligence research | killexams.com real Questions and Pass4sure dumps

    No outcomes found, are attempting fresh key phrase!IBM (NYSE: IBM), as a vertically integrated business, is planning an conclusion-to-conclusion investment in augmented intelligence, past constructing application, Khare stated. "The focus will focus on hardware, application, ...

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    IBM Test667, Architectural Design of SOA Solutions

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    IBM’s Reference Architecture for Creating Cloud Environments [Updated] | killexams.com real questions and Pass4sure dumps

    IBM has recently submitted the IBM Cloud Computing Reference Architecture 2.0 (CC RA) (.doc) to the Cloud Architecture Project of the Open Group, a document based on “real-world input from many cloud implementations across IBM” meant to provide guidelines for creating a cloud environment. Update: interview with Heather Kreger, one of the authors of Cloud Computing Reference Architecture.

    CC RA emphasizes the synergies between cloud computing and SOA remarking that

    The essential characteristics for Cloud Computing are on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured Service. These characteristics can subsist institute in requirements and SOA solutions in various organizations today, although these characteristics are optional for SOA and mandatory for cloud.

    CC RA outlines four architectural layers proposed to subsist used in cloud computing:

  • Operational Layer containing the basic cloud computing infrastructure
  • Service Layer providing cloud services. IaaS is considered a service providing infrastructure along with PaaS offering middleware and SaaS providing applications.
  • Business Process Layer. IBM introduces a fresh sort of service called BPaaS providing industry processes as services similar to what SOA offers.
  • Consumer Layer. This is the layer consuming total the services generated by the previous layers.
  • According to CC RA, a high smooth view of a cloud environment looks infatuation this:


    CC RA continues by detailing each section of the diagram including the Common Cloud Management Platform (CCMP) which contains the largest number of components:


    The CC RA is built on the ELEG ( Efficiency, Lightweightness, Economies-of-scale, Genericity) principles:

  • Design for Cloud-scale Efficiencies: When realizing cloud characteristics such as elasticity, self-service access, and springy sourcing, the cloud design is strictly oriented to high cloud scale efficiencies and short time-to-delivery/time-to-change. (“Efficiency Principle”)
  • Support lanky Service Management: The Common Cloud Management Platform fosters lanky and lightweight service management policies, processes, and technologies. (“Lightweightness Principle”)
  • Identify and Leverage Commonalities: total commonalities are identified and leveraged in cloud service design. (“Economies-of-scale principle”)
  • Define and Manage generically along the Lifecycle of Cloud Services: subsist generic across I/P/S/BPaaS & provide ‘exploitation’ mechanism to advocate various cloud services using a shared, common management platform (“Genericity”). 
  • Update. Following is a short interview with Heather Kreger, one of the authors of Cloud Computing Reference Architecture.

    InfoQ: Why did you do this reference architecture public? What enact you hope to achieve? And why Open Group?

    HK: Based on the sustain IBM has in the design and deployment of cloud solutions, they wanted to present the harvested architectural best practices they believe accrued in the profile of a reference architecture to the Open Group. This can serve as input for standardization process going on in the Cloud Architecture work group. They chose The Open Group because they really perceive the Open Group as having a focus of gravity in architecture standards. They believe TOGAF, which has been successful, and that attracts a lot of high quality architects to the standards work there. In combination with the other cloud standards being developed there, The Open Group has the privilege people, momentum and expertise to develop and continue reliance and feeding of a reference architecture infatuation the CCRA.

    InfoQ: IBM has endorsed the OpenCloud Manifesto. What is your position regarding OpenStack, considering they are trying to create a cloud computing reference implementation?

    HK: They understood that OpenStack was creating an implementation but doesn't appear connected to existing standards work. We'd worship for them to arrive participate in the Open Group Cloud Architecture progress work.

    InfoQ: Are you using the Reference Architecture internally at IBM?

    HK: Yes, the CC RA is used within IBM for multiple purposes, first, as the blueprint for cloud implementations their sphere practitioners architect, design & implement for customers. This is actually the second version in IBM, we've updated it based on their extensive sustain with SOA and Cloud implementations in the industry.Second, they are also using it with their IBM-hosted clouds that they expend for internally as well as the ones they present externally to customers. We've learned a lot and will continue to iterate with their sustain with The Open Group. They reflect this "closed loop" is very primary given the quickly evolving cloud space.

    InfoQ: Are there companies using your Reference Architecture for edifice cloud infrastructure?

    HK: Yes, those we've been doing services engagements with, and those who are using their IBM hosted cloud services.

    InfoQ: Are there companies using the RA to create and consume services in IBM's cloud computing environment?

    HK: They are working with many clients across various industries where the CCRA proved it's practical relevance and value". Yes, their hosted cloud is based on the CCRA and the CCRA can wait on those looking to purchase handicap of those.

    The World Market for Bare Metal Cloud to 2023 - Key Players are CenturyLink, Dell, IBM, Oracle, and Rackspace US | killexams.com real questions and Pass4sure dumps

    March 26, 2019 07:30 ET | Source: Research and Markets

    Dublin, March 26, 2019 (GLOBE NEWSWIRE) -- The "Global Bare Metal Cloud Market 2019-2023" report has been added to ResearchAndMarkets.com's offering.

    The bare metal cloud market will register a CAGR of over 37% by 2023.

    The service-oriented architecture (SOA) provides IT frameworks for entities to manage their storage and network infrastructure with greater flexibility. It helps organizations implement bare metal cloud in a simplified passage with less implementation time. With the growing market competition for innovative products and services, SMEs require IT frameworks to enhance the time-to-market of products and services.

    The SOA offered by vendors in the global bare metal cloud market allows enterprises to connect with their channel partners and stakeholders on an integrated platform. In addition, SOA provides loosely coupled architecture and design applications, services, and codes that can subsist reused. Loosely coupled architecture provided by bare metal cloud vendors ensures that the application running in a cloud environment does not intersect with other applications. Thus, the rising popularity of SOA is expected to fuel the adoption of bare metal cloud solutions during the forecast period.

    Increasing adoption of fresh technologies

    Organizations need strategic planning that is aligned with their operational strategy to provide innovative products and service offerings. Bare metal cloud helps organizations align their project management planning with their industry objectives for innovations and sustainable development. Bare metal cloud helps enterprises in the strategic planning process and enhances resource allocation for project progress across their venues in various places globally.

    System integration and interoperability issues

    The adoption of advanced technologies in several industry verticals, including BFSI, IT and telecom, healthcare, and media, is increasing significantly, which leads to system integration and interoperability issues in their current IT systems. Vendors must provide unified bare metal cloud solutions to manage cloud infrastructure that can subsist seamlessly integrated with the IT infrastructure of organizations.

    Competitive Landscape

    The market appears to subsist moderately fragmented and with the presence of several vendors. This market research report will wait on clients identify fresh growth opportunities and design unique growth strategies by providing a comprehensive analysis of the market's competitive landscape and offering information on the products offered by companies.

    Key Players

  • CenturyLink
  • Dell Inc.
  • IBM
  • Oracle
  • Rackspace US Inc.
  • Topics Covered




  • Market ecosystem
  • Market characteristics
  • Market segmentation analysis

  • Market definition
  • Market sizing 2018
  • Market size and forecast 2018-2023


  • Comparison by end-user
  • BFSI - Market size and forecast 2018-2023
  • Government - Market size and forecast 2018-2023
  • IT and telecom - Market size and forecast 2018-2023
  • Healthcare - Market size and forecast 2018-2023
  • Others - Market size and forecast 2018-2023
  • Market break by end-user


  • Geographic comparison
  • North America - Market size and forecast 2018-2023
  • Europe - Market size and forecast 2018-2023
  • APAC - Market size and forecast 2018-2023
  • South America - Market size and forecast 2018-2023
  • MEA - Market size and forecast 2018-2023
  • Key leading countries
  • Market opportunity



  • Overview
  • Landscape disruption
  • Competitive scenario

  • Vendors covered
  • Vendor classification
  • Market positioning of vendors
  • CenturyLink
  • Dell Inc.
  • IBM
  • Oracle
  • Rackspace US Inc.
  • For more information about this report visit https://www.researchandmarkets.com/research/dmfwtx/the_world_market?w=12

    CONTACT: ResearchAndMarkets.com Laura Wood, Senior Press Manager press@researchandmarkets.com For E.S.T Office Hours convoke 1-917-300-0470 For U.S./CAN Toll Free convoke 1-800-526-8630 For GMT Office Hours convoke +353-1-416-8900 Related Topics: Cloud Computing and Storage CONTACT: ResearchAndMarkets.com Laura Wood, Senior Press Manager press@researchandmarkets.com For E.S.T Office Hours convoke 1-917-300-0470 For U.S./CAN Toll Free convoke 1-800-526-8630 For GMT Office Hours convoke +353-1-416-8900 Related Topics: Cloud Computing and Storage 22157.jpg

    Formats available:

    IBM Acquires Agile 3, Makers Of A Security Dashboard For industry Leaders | killexams.com real questions and Pass4sure dumps

    IBM has continued its acquisition spree into the fresh year, advancing its security carriage Monday by agreeing to buy San Francisco-based Agile 3 Solutions.

    The startup, founded by an IBM veteran, has a software portfolio aimed at senior industry executives, helping them understand and mitigate the risks of data breaches to their organizations.

    IBM Security, headquartered in Cambridge, Mass., also announced its intent to acquire Ravy Technologies, which OEMs dashboards used in the Agile 3 product line.

    [Related: IBM CFO Tells Investors Goals Of Cognitive Transformation Are In Sight]

    Financial details of the deal weren't disclosed.

    Agile 3, founded in 2009, offers a suite of products that wait on industry leaders do decisions about security threats facing their companies through intuitive visualizations and analytics. The software design is heavily influenced by service-oriented architecture principles.

    Agile 3's founder, Raghu Varadan, had been IBM's chief architect for its SOA focus of Excellence, and was answerable for implementing service-oriented architecture solutions for the IBM Global industry Services division's largest customers.

    Once the acquisition is completed in the coming weeks, Agile 3's technology will subsist brought to market through IBM Data Security Services. The solution will also subsist integrated into IBM Guardium, gigantic Blue's data protection product.

    Jazz Padda, managing director of Too Many Clouds, a U.K.-based IBM SoftLayer partner, told CRN that IBM's latest acquisition is another mark that "security is a massive, massive issue privilege now, especially in cloud-based computing environments."

    Distributors and resellers are clamoring to perceive their confederate vendors foster their cyber-security capabilities, Padda said.

    "Company data, especially customer data, is what keeps companies running," Padda said. But "the majority of organizations enact not know enough about their own data and the weight of it."

    "We will subsist talking to their contacts at IBM to perceive how they can purchase the fresh product on their books to their partners and their customers," Padda told CRN.

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