000-939 exam Dumps Source : IBM Tivoli Change and Configuration Management Database V7.1.1
Test Code : 000-939
Test designation : IBM Tivoli Change and Configuration Management Database V7.1.1
Vendor designation : IBM
: 138 actual Questions
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The bulletins IBM made at ultimate week's regard 2019 conference around Watson AI features are well timed to meet evolving cloud computing calls for.
IBM pointed out that through their Watson anywhere initiative they're making Watson AI functions purchasable across AWS, Azure and GCP, moreover their own IBM Cloud choices.
For instances the station organizations may likewise wish to boost and/or elope AI-primarily based applications in private clouds or their personal information centers, the company is licensing Watson to subsist able to elope locally.
Ever since the upward thrust to prominence of cloud computing, we've got seen corporations grapple with the way to optimal feel about and leverage this original skill of computing. Some organizations, especially internet-concentrated ones, dove in head first and now believe their total actuality conditional on services relish Amazon's AWS (Amazon internet features) (NASDAQ:AMZN), Microsoft's Azure (NASDAQ:MSFT), and Google's Cloud Platform (GCP) (NASDAQ:GOOG) (NASDAQ:GOOGL). for many medium agencies, youngsters, the process of stirring toward the cloud hasn't been almost as clear, nor as handy. on account of significant investments of their own actual records centers, heaps of legacy applications, and many other custom-made software investments that weren't in the genesis designed with the cloud in intellect, the transition to cloud computing has been a total lot slower.
one of the most stumbling blocks in stirring to the cloud for these ordinary vendors is that the shift has frequently required a monolithic exchange to an entirely new, distinctive classification of computing. of course, it is not convenient to do, especially if the alternative you're relocating to is seen as a novel alternative, with few options. In certain, as a result of AWS changed into so preeminent within the early days of cloud computing, many organizations believe been unafraid of getting locked into this original environment.
As option cloud computing choices from Microsoft, Google, IBM (NYSE:IBM), Oracle (NYSE:ORCL), SAP (NYSE:SAP) and others started to kick in, although, agencies totality started to ascertain that numerous doable alternatives believe been attainable. What's been occurring within the cloud computing world over the ultimate 12-18 months is greater than simply a simple multiply in aggressive alternatives. or not it's a significant growth in considering a way to strategy computing in the cloud. With multi-cloud, for instance, agencies are now embracing, in preference to rejecting, the concept of getting different types of workloads hosted by divorce companies.
In a means, we're seeing cloud computing evolve in the same course to typical computing trends, however at a a lot quicker pace. The introductory AWS choices, as an example, weren't that conceptually divorce from mainframe-based mostly efforts, concentrated round a platform controlled by means of a sole supplier. The combination of latest choices from different companies in addition to several types of supported workloads could subsist viewed as a theoretical akin to extra heterogenous computing fashions. The stream to containers and microservices throughout dissimilar cloud computing suppliers in many ways mirrors the client-server evolution stage of computing. finally, the synchronous structure of "serverless" models for cloud computing can subsist regarded roughly analogous to the advancements in zone computing.
in this context, announcements that IBM made finally week's regard 2019 conference around their Watson AI services are well timed to satisfy evolving cloud computing calls for. in particular, the company referred to that via their Watson any station initiative they had been going to subsist making Watson AI capabilities available across AWS, Azure, and GCP, in addition to their own IBM Cloud offerings. moreover, for situations where organizations might likewise are looking to boost and-or elope AI-primarily based functions in private clouds or their personal facts centers, the company is licensing Watson to subsist capable of elope locally.
building on the company's Cloud private for statistics as a ground platform, IBM is offering a call of Watson APIs or direct access to the Watson aide across totality of the in the past outlined cloud systems, in addition to techniques running crimson Hat OpenShift or Open Stack across lots of different environments.
This gives corporations the flexibleness they are actually anticipating to entry these features across a range of cloud computing offerings. in fact, corporations can fetch the AI computing elements they need, even with the classification of cloud computing efforts they've chosen to make. whether it's including cognitive features capabilities to an current legacy utility that is been lifted and shifted to the cloud, or architecting a completely original microservices-based service leveraging cloud-native platforms and protocols, the range of flexibility being provided to companies looking to circulation greater of their efforts to the cloud are turning out to subsist dramatically.
providers who are looking to address these wants will must undertake this greater springy classification of considering and adjust or enhance capabilities that suitable no longer best the truth of the multi-cloud world, but the latitude of decisions that these original alternatives are starting to allow. The implications of multi-cloud are enormously better, although, than simply having a call of carriers or selecting to host certain workloads with one dealer and other workloads with an additional. Multi-cloud is in fact enabling businesses to believe about cloud computing in a extra flexible, approachable method. or not it's exactly the sort of construction the industry needs to pilfer cloud computing into the mainstream.
Disclaimer: one of the crucial creator's consumers are companies within the tech business.
IBM analysis has an extended background of inventing the longer term, so the massive tech enterprise’s researchers pilfer their predictions severely. these days they're revealing their annual “5 in 5” predictions, which aspect 5 improvements if you want to trade their lives within the subsequent five years.
IBM will talk concerning the predictions at its feel 2019 event in San Francisco on Wednesday from 10 a.m. to eleven a.m. Pacific time.
Spurring the need for innovation is claim positioned with the aid of the Earth’s increasing population. Arvind Krishna, senior vice chairman of IBM Cloud and Cognitive application, spoke of in a blog submit that the area’s inhabitants will quickly cross 8 billion for the primary time.
“Our advanced food chain — already stressed by climate exchange and a finite water deliver — will most efficacious subsist proven additional,” he wrote. “to meet the calls for of this crowded future, they can want original applied sciences and devices, scientific breakthroughs, and fully original techniques of brooding about food defense and safety.”
IBM researchers worldwide are already working to augment meals give with a view to meet this problem. Efforts embrace assisting farmers maximize crop yields and establishing ways to curb the epidemic of dissipate that destroys 45 percent of their meals deliver. they are likewise working to create a safety internet to trap pathogens and contaminants before they Make people sick. and that they’re inventing methods to uphold plastic out of landfills and oceans.
without further ado, listed below are the predictions, by and big in Krishna’s phrases:Farming’s digital doubles will assist feed a growing population the spend of fewer elements
graphic credit score: IBM
How Do you provide a farmer who has certainly not set foot in a fiscal institution entry to credit? through digitizing and taking pictures totality elements of agriculture, from the exceptional of the soil to the competencies of the tractor driver to the expense of a melon offered at the market. It’s referred to as a Digital Twin, and in the subsequent 5 years, the spend of AI, they can spend this statistics to accurately forecast crop yields, which in spin will provide banks and economic institutions the statistics points they deserve to provide credit to uphold farmers expand — probably money does grow on timber after all.Blockchain will slice back food waste
image credit: IBM
within 5 years, we’ll eliminate many of the costly unknowns in the meals provide chain. From farmers to grocery suppliers, each and every participant in the provide chain will know exactly how a considerable deal to plant, order, and ship. meals loss will minimize enormously, and the relent that leads to patrons’ carts may subsist more energizing — when blockchain expertise, IoT instruments, and AI algorithms subsist a fraction of forces. [Blockchain is a decentralized ledger that is secure and transparent, and it can subsist used to label products from harvest to consumption.]Mapping the microbiome will protect us from inferior micro organism
picture credit: IBM
inside 5 years, food protection inspectors world wide will gain a original superpower: the skill to Make spend of hundreds of thousands of microbes to tender protection to what they devour. These microbes — some suit for human consumption, others now not — are regularly delivered into meals at farms, factories, and grocery outlets. thanks to a brand original approach that allows us to research their genetic make-up cost-with no trouble, microbes will recommend us a total lot about the security of what they consume.AI sensors will commemorate foodborne pathogens at home
photograph credit score: IBM
within 5 years, the area’s farmers, food processors, and grocers — together with its billions of home cooks — should subsist capable of realize unhealthy contaminants comfortably of their meals. totality they’ll want is a cell or a countertop with AI sensors. IBM researchers are developing potent, moveable AI sensors that can realize foodborne pathogens any station and in every sole station they may flip up. These cellular micro organism sensors may dramatically raise the velocity of a pathogen verify from days to seconds, permitting people up and down the food chain to commemorate the actuality of detrimental E. Coli or Salmonella earlier than it turns into a virus.VolCat will alternate plastics recycling
In five years, IBM said the disposal of trash and the introduction of original plastics can subsist completely changed. every thing from milk cartons to cookie containers to grocery baggage and cheese cloths may subsist recyclable, and polyester manufacturing groups may subsist in a position to pilfer up spurn and spin it into something valuable. This transition can subsist powered by innovations relish VolCat, a catalytic chemical routine that can flip PET, a ilk of plastic commonly used in food packaging and polyester garb, into a renewable resource.
The affordable and sustainable innovation is in a position to respiration original lifestyles into historic plastic. currently, more than 272 million metric a total lot plastic are produced each and every 12 months totality over the world, with one-quarter of that made from PET. VolCat aims to Make spend of a precise combination of chemical substances, warmth, and compel to reduce this quantity of plastic, and sooner or later the volume of waste, produced. This could fully seriously change the manner they discard and manufacture plastic within the next 5 years.previous predictions
For the checklist, listed below are five IBM predictions from 2013 that may noiseless believe already advance proper via now. I’ll Go away the results that you should judge.
In 2013, IBM had a wakeup name.
It misplaced a vital cloud deal at the CIA to AWS. IBM protested the constrict exposing previously personal details. In a towering profile determination, arbiter Thomas Wheeler dominated against IBM despite the apparent higher fee bid submitted via AWS. The final analysis is AWS’ cloud offering became viewed as superior to IBM’s.
under twenty-4 months into her tenure as IBM’s CEO, Ginni Rometty understood the vital. IBM had to Make a circulation to fetch into the universal public cloud online game or it might subsist omitted within the cold, an terrible lot relish HP, Cisco, EMC, VMware, and different gigantic tech establishments at the time. IBM paid $2B to purchase Softlayer and has on account that converted the platform birthright into a attainable offering from which it intends to re-write the cloud narrative.
here’s a paraphrase of the premise Put forth by IBM’s Chairman and CEO at this week’s IBM believe conference in San Francisco:
Chapter probably the most cloud represented about 20% of the workload possibility. It changed into generally about relocating a lot of original and consumer-facing purposes to the cloud. Chapter two is concerning the challenging stuff. It’s about scaling AI and developing hybrid clouds. It’s about bringing the cloud operating mannequin to totality those mission-essential apps and enabling shoppers to control statistics, workloads, and apps and rush them between divorce clouds. here is one thousand billion dollar probability and IBM intends to subsist #1.
IBM isn't on my own in its aspiration. gigantic groups relish Cisco, VMware, and even HPE believe well an identical aspirations. As does ServiceNow and a bunch of smaller expert companies. and naturally, the universal public cloud giants including AWS and Microsoft believe their personal concepts about Chapter 2 of the cloud period.
To declare a management station in Chapter 2, IBM is spending $34B to purchase purple Hat. here is a massive rush on the chess board and underscores that the IBM Cloud and a decade of trying to commercialize Watson aren’t enough to win the day. well it sees open supply, Kubernetes, containers, microservices, and developers as a lynchpin to success within the next chapter of the cloud.
a short evaluation of Chapter One
There’s an terrible lot debate about who first created the term cloud computing. There’s itsy-bitsy doubt however that Jeff Barr’s weblog submit in the summer of 2006, motto AWS’ Elastic Compute Cloud, ushered within the modern period of cloud - so-called Chapter 1. In his submit, Barr wrote:
With Amazon EC2, you don’t should acquire hardware in advance of your needs. in its place, you with ease spin up the dial, spawning more digital CPUs, as your processing wants develop.
His fact underscored the most fundamental cost proposition of cloud - pay for less than what you spend model. This, of course, became the primary of a lot of innovations and services - totality obtainable with the swipe of a credit card, to subsist dialed up on demand. Startups flocked and tapped world-category records core functions up to now simplest attainable to giant groups.
The economic downturn of 2007-2009 led CFOs to mandate a shift from Capex to Opex and when the economic system turned up, businesses realized that their cloud journey enabled a Good deal more desirable agility. Shadow IT-powered the subsequent aspect of growth and as “cloud creep” permeated the market - IT hopped on board and hasn’t looked returned.
principally, Microsoft transformed itself to the cloud the usage of the formula of: 1) An open supply mind-set - alignment and aid (open compute, linux on .internet, and so on.); 2) Cloudify totality issues Microsoft and making Azure, not windows, the core of its universe; and 3) bundling office 365 to disclose salary from no longer handiest IaaS but SaaS.
Joined through Google, which used its preeminent world search infrastructure to stake its declare within the cloud, the massive three lead the way for a brand original fiscal model based on scale, innovation and automation, applying application economics to the thought of infrastructure deployment and management features (See Figures 1 & 2 beneath).
Key features in the Charts:
IBM’s possibilities for Chapter 2 management signify on facts
earlier than diving into the crimson Hat piece of the puzzle, they must element returned to statistics. In their view, IBM is working carefully with valued clientele to build a digital trade material where statistics continues to subsist the underpinning of its approach to pressure a brand original period of analytics based on AI. IBM sees data as a simple ingredient in bringing contextual relevance to trade purposes. What we’re seeing is on account of IBM’s expansive capabilities trade and deep trade talents it’s earned the birthright to aid shoppers build digital networks and radically change enterprise fashions. IBM’s huge purchasers are becoming this. They’re no longer trying to IBM to easily convey features or restful their infrastructure or promote them SaaS - quite they’re attempting to find IBM to assist them seriously change and carry original company models. We’re seeing this in healthcare, fiscal services, agriculture, power, insurance and basically totality industries through which IBM has a presence globally.
IBM’s possibility as they behold it is to uphold organizations subsist cognizant the way to Make funds using facts. not necessarily with the aid of without delay selling their information however figuring out how to monetize facts. What they behold IBM doing is taking what has been largely piecemeal, information-oriented AI tasks and growing what Rometty calls “outside / In” - i.e. client event oriented functions and “inside / Out” - i.e. workflow and original the way to toil applications - each which contribute to bottom line outcomes. more importantly, IBM desires to assist the client absolutely seriously change their company operations.
to accomplish this, IBM is offering a enterprise platform - fueled by statistics, and a computer intelligence platform - i.e. tooling and capabilities to extract value from facts and operationalize AI.
Enter purple Hat
IBM didn’t unencumber any original details about crimson Hat at think, most likely because of regulatory concerns. but with red Hat, IBM can enable a original breed of utility developers - for groups - using cloud-native tooling. facts is the key ingredient to emerging company applications and with purple Hat in its portfolio, IBM can “cloudify” and “records-fy” businesses and position itself as up to date and significant. extra importantly, it could dramatically scale purple Hat’s trade globally.
red Hat for IBM emerges as a car for producing derivative leverage out of IBM ecosystem application and trade competencies. With RHEL, OpenShift and eight million red Hat builders, IBM can assist its shoppers modernize their application portfolios and transform company operations...creating a brand original breed of digital trade builders.
believe statements made by way of Ginni Rometty and Jim Whitehurst birthright through their mini roadshow after asserting the purple Hat acquisition. Ginni stored motto “this isn’t a backend loaded deal.” What did she imply? In their view, she changed into essentially explaining the company case for IBM paying a 60%+ top class over crimson Hat’s stock rate ahead of the deal being introduced. in particular, IBM has a expansive Put in ground of functions consumers (a $20+B captive probability in their estimate) at which it could possibly element purple Hat PaaS tooling to modernize software portfolios and build the long elope digital trade platform for/with shoppers.
So out of the chute, IBM can automatically inaugurate scaling crimson Hat’s enterprise, marrying deep industry talents, the sprawling IBM SaaS portfolio, the IBM Cloud (the station relevant), AI infused in totality places and pink Hat PaaS to connect customer statistics, workloads, and applications to any cloud or on-prem setting up.
longer term, IBM can, together with its consumers, utterly adopt synchronous application structure practices to codify its deep trade erudition and construct out transformative trade and AI structures to uphold incumbent groups compete within the digital period.
The competitive panorama
if you don’t personal a public cloud, you Go difficult after multi-cloud. To wit: VMware exited public cloud after years of making an attempt to commercialize VCloud Air. It eventually settled on a deal with AWS and sold off its public cloud. VMware is Dell’s ace in the gap for multi-cloud. Cisco lately introduced its multi-cloud approach at Cisco live Barcelona which comes on the vicissitude from a stalwart position in networking. As networks flatten - Cisco will likewise subsist the glue between clouds with software management and orchestration framework for networked records-- not a foul approach. HP tried and failed within the public cloud online game and HPE is trying to subsist a company of multi-cloud features but is basically counting on packaging its hardware, services and a few minimal software content.
of those avid gamers, most efficacious Cisco has any meaningful presence with builders. IBM with crimson Hat gets entry to eight million devs.
As such, IBM has a better position than these avid gamers-- albeit more complex. It owns a public cloud presence and while no longer basically as gigantic as AWS in IaaS, IBM has a expansive SaaS portfolio. relish Oracle, it doesn’t should compete for commodity trade against AWS, quite it will probably sell cost “up the stack” using SaaS as a excessive-cost play. As smartly, it’s AI runs on the cloud and it simply introduced at suppose that it’s opening up Watson to elope on any on-prem, public or hybrid cloud (a long overdue circulate in their opinion). in the past, in case you desired Watson you might only fetch it on IBM’s cloud.
Microsoft obviously will believe its talk in Chapter 2 of the cloud. With its acquisition of GitHub and massive software property, combined with a number one cloud at scale, Microsoft holds a lot of cards. it is investing in AI and has a stalwart information perspective.
Google Cloud is resetting with original management and is taking fraction in the long video game. It clearly has AI chops and a powerful facts angle.
Then there’s AWS. Amazon’s announcement of Outposts shows that it will possibly and should evolve and change its spots. nowadays, AWS makes a stalwart case for a sole versus a multi-cloud strategy - arguing that diverse clouds are much less comfy, more advanced and more expensive. whereas credible in its place, the truth is multi-cloud is relish multi-seller. There’s not a procurement czar inside of each company to subsist able to dictate a sole cloud. As such if AWS sees an occasion to control varied clouds it's going to enter the space in their view.
the brand original “innovation cocktail” combines statistics + AI + Cloud. a measure facts mannequin brings a competitive talents in the digital world. computer intelligence (AI) applied to facts drives insights and cloud permits scale and attracts innovation via ecosystems. IBM is combining these three aspects to compete in the subsequent chapter of expertise trade growth.
IBM, relish Microsoft, is cloudifying its offerings to aid its customers’ digital transformations. via bringing the cloud to its products, structure statistics networks with shoppers, applying AI in every sole station and leveraging crimson Hat, it will probably catalyze a brand original class of enterprise builders and Go challenging after the multi-cloud casual that exists.
We accept as true with, besides the fact that children, that the multi-cloud world should subsist messy. today, multi-cloud is as a total lot a multi- (cloud) dealer prevalence versus a deliberate approach. in spite of this, consumers will continue to opt for horses for courses - sense the birthright cloud for the correct workload - and for you to inevitably result in distinctive clouds and alternatives for simplified management, protection, governance, and records leverage.
nowadays, about half of IBM’s profits comes from so-known as Strategic Imperatives. That piece should develop faster than the other half declines. furthermore, about sixty p.c of IBM’s earnings comes from consulting and skilled functions. The decent intelligence there is it offers IBM deep visibility and relationships into nearly totality global industries. The downside is that enterprise doesn’t scale as well. As such IBM’s most efficient power is its most profitable problem. The unique probability facing IBM is to codify that deep industry talents in utility, the usage of statistics as the key ingredient for brand original enterprise applications built on cloud-native PaaS tooling - and scaling to the cloud, any cloud.
it truly is a differentiable myth and one that protects IBM from getting Amazon’d while at the same time enabling the company to power margin advancements over time. IBM’s Rometty has spent the closing 5-6 years preparing the trade for this next chapter.
Now massive Blue should disclose that Elephants can dance, dash and elope marathons.
comply with totality the IBM suppose 2019 reside video coverage here: https://www.thecube.net/ibmthink2019
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Staff at SearchDataCenter.com
IBM updates Tivoli CMDBIBM today unveiled a change management database (CMDB) suite for Tivoli. The software is designed to automate processes across software, hardware, storage and network environments that span divorce departments within a company.
The original software will subsist available on June 30 and includes:
IBM said the original suite is built on service-oriented architecture and can subsist customized to a particular industry, such as healthcare or retail. A capacity planning module will ensue in the second half of 2006.
BMC Software Inc., Fujitsu Ltd., Hewlett-Packard Co. and IBM recently announced plans to create a original interoperability specification designed to enable customers to federate and access CMDB information from multivendor data centers. The companies routine to submit a draft specification to an industry standards organization later this year.
Platespin launches server consolidation planning toolToronto-based PlateSpin today announced the universal availability of a server consolidation planning tool. The software, called the Consolidation Planning Module for PlateSpin PowerRecon, is designed to determine the optimal suitable between application workloads and server resources.
The implement takes hardware, software and performance information and recommends an optimal allocation of servers to the most appropriate virtual hosts, such as VMware ESX Server, VMware Server or Microsoft Virtual Server. It uses CPU, disk, network, memory and time to determine the proper distribution of servers to a set of virtual hosts.
The Consolidation Planning Module is available for purchase immediately. Existing customers with maintenance agreements can download the update at any time. Customers who buy PowerRecon before the conclude of June 30 will receive this original module for free.
CA rolls out original mainframe database managementCA Inc. this week rolled out a two original releases of its Unicenter Database Management software, DB2 UDB for z/OS and IMS for z/OS databases.
CA's original Unicenter Database Management r11.5 for DB2 UDB for z/OS is designed to optimize database performance, administration, and backup and recovery. CA said the enhancements embrace extended uphold for DB2 UDB for z/OS v8, as well as a number of usability improvements, such as:
CA says it has likewise streamlined deployment and usability of its Unicenter Database Management r11.5 for IMS, giving database administrators original capabilities to:
CA's Unicenter Database Management r11.5 for IMS for z/OS is available immediately. Unicenter Database Management r11.5 for DB2 for z/OS v8 is scheduled to ship later this quarter. Earlier this month, CA announced its aim to deliver "day one" uphold for DB2 v9 for z/OS when that product becomes generally available.
IBM acquires RemboIBM has agreed to buy Rembo Technology, a Swiss software company that assists companies in upgrading operating systems on big server clusters.
The acquisition is expected to subsist completed by the conclude of June. fiscal details were not disclosed.
IBM says the Rembo products will Make it easier on a data heart manager. Rather than sending out employees to every workstation at every office, an IT administrator can install operating systems from a centralized location. Some of Rembo's 800-plus customers embrace the city of Munich and the University of Wisconsin.
"Rembo software makes installing an operating system across thousands of physical and virtual computers swiftly and efficient," said Al Zollar, universal manager, IBM Tivoli software, in a statement. "With Rembo software, organizations can bring down the cost of managing and securing software across open, diverse environments, which is a key benefit of IT service management."
Unicorn’s technology will assuage beef up the SOA and MDM capabilities of expansive Blue’s WebSphere and Rational product families.
One of IBM Corp.’s most prominent data integration product brands—Omnivore (an enterprise search-oriented flavor of its WebSphere Information Integrator franchise)—also doubles as an apt description of its acquisition practices.
Big Blue ultimate week devoured noiseless another tasty vendor, in this case Unicorn Solutions, Inc., a provider of metadata modeling and management tools. Representatives talk IBM plans to incorporate Unicorn’s technology into future releases of its WebSphere middleware and Rational app dev products to assuage beef up the SOA and MDM capabilities of both families.
Unicorn’s technology will likewise find its way into expansive Blue’s WebSphere Metadata Server offering, a long-awaited “Rosetta Stone” for IBM’s information management portfolio, which includes a complexion of homegrown technologies and acquired technology assets, such as the products (DataStage, QualityStage, and other offerings) expansive Blue inherited from the former Ascential Software Corp.
IBM says Unicorn is its 18th integration- or process-oriented application acquisition since 2001. James Kobielus, a principal analyst for data management with consultancy Current Analysis, says acquisition rapacity about sums up IBM’s current dilemma, in which it has been leisurely to deliver an assimilated version of the Ascential technologies it acquired more than a year ago. (http://www.esj.com/business_intelligence/article.aspx?EditorialsID=7785)
Big Blue has productized the former Ascential technologies as WebSphere-branded offerings, to subsist sure, but its Project Serrano-Hawk (a combination of then-percolating next-gen deliverables in both the IBM and Ascential R&D pipelines, respectively) platform release—which will create a original hybrid release called WebSphere Information Server (basically Serrano and Hawk, dressed up with SOA-ready underpinnings)—is noiseless missing in action.
“IBM needs to provide more specifics on its roadmap for releasing versions of WII [WebSphere Information Integrator] products that incorporate Unicorn metadata technology. IBM should likewise status how it plans to position or market the Unicorn-enabled WII products vis-à-vis those of its partners that incorporate metadata management functionality,” Kobielus comments. “Furthermore, it needs to clarify the role of metadata management in its SOA run-time governance environment, in which the lynchpin is IBM Tivoli Change and Configuration Management Database.”Big Blue’s Unicorn acquisition likewise raises questions about IBM’s metadata management strategy. When IBM staged its first-ever Information Live! (in conjunction with the Ascential World user confab), it promised to deliver both the first original WebSphere-branded release of DataStage and its still-gestating IBM Metadata Management Server by sometime this spring. Information Live and the WebSphere Metadata Management Server offering, in particular, were positioned as a coming-out party for (or validation of) expansive Blue’s master data management (MDM) ambitions. At the time, IBM officials maintained that expansive Blue already had totality of the pieces of a complete information management, or MDM, solution.
“We attend to subsist more conservative about what they proclaim than some of their competitors. Really, today is the first time they announced what totality of these strategic acquisitions believe been about,” said Dan Druker, director of master data management with IBM, at the time. “MDM—you can advance at it in a lot of different ways. There are totality kinds of different entry points into MDM, but they wanted to subsist very conservative about not tipping their hand too much, because we’ve spent a big amount of money on this strategy.”
Apparently, expansive Blue didn’t spend enough. But perhaps that’s not quite a just assessment.
In the past, IBM hasn’t been unafraid to tug the trigger on technology acquisitions that chiefly assuage to enhance its capabilities in arcane areas (such as its acquisition of the former Venetica for unstructured content management, as well as Aptrix or even Green Pasture Software). (http://esj.com/enterprise/article.aspx?EditorialsID=1101)
The Unicorn acquisition seems to subsist another case in point.
“IBM’s latest acquisition sends a signal to competitors that metadata management is central to the vendor’s MDM, SOA and compliance strategies,” Kobielus concludes. “Competitors must revisit their own metadata management roadmaps and status how they routine to match IBM’s ambitious plans vis-à-vis Unicorn technology. Enterprise IT groups should revisit their commitment to MDM vendors, factoring those vendors’ metadata management roadmaps into an assessment of each provider’s direction.”
Stephen Swoyer is a Nashville, TN-based freelance journalist who writes about technology.
November 16, 2005 07:00 ET
Software Helps Protect Companies From "Domino Effect" of IT Problems
ARMONK, NY -- (MARKET WIRE) -- November 16, 2005 -- IBM today announced it has acquired Collation, a privately held company based in Redwood City, Calif. fiscal details were not disclosed.
Collation software automatically captures information about IT resources, such as servers, applications and databases, and displays it on a minute map. This enables IT staffs to better understand the repercussion of changes to an IT environment -- such as how a security patch can trigger a "domino effect" of unexpected problems that can bring down an online business. It likewise helps shrink the time it takes to ascertain and correct a problem.
"Without a solid understanding of how different pieces of the IT puzzle suitable together, a sole change can leisurely down or halt an entire system," said Al Zollar, universal manager, IBM Tivoli Software. "Collation software allows companies to visualize different change scenarios so they can dissect the implications before problems occur."
In today's world of involved software applications, understanding the relationship between technology and the trade it supports can greatly help the efficiency and effectiveness of IT operations. Collation software helps IT professionals manage the availability of their systems when making changes, which can ensure that applications remain up-and-running around the clock. IT professionals can likewise behold how technology supports trade processes, such as order entry, supply chain and enterprise resource management.
Using IBM Tivoli systems management software, customers can pilfer the information captured by Collation software and model what will chance when a change is made. They can likewise test the environment for unauthorized changes and share a common view of how different pieces of an infrastructure toil together to deliver IT services. This helps companies better manage their software deployments, making them more responsive to original trade requirements by shortening the time it takes to release original applications or update existing ones.
The acquisition of Collation strengthens IBM's IT service management software portfolio and expands its capabilities for automating and simplifying the way companies manage their infrastructures. With IT service management, companies can exploit IT processes the same way they manage trade processes, which helps help efficiency, effectiveness, and agility. Collation technology will become fraction of the IBM Tivoli Change and Configuration Management Database, a service management platform that provides a sole view across multiple sources of IT information.
Collation products will subsist available direct from IBM, through IBM Global Services, and through IBM trade Partners.
IBM is the world's largest information technology company, with 80 years of leadership in helping businesses innovate. Drawing on resources from across IBM and key trade Partners, IBM offers a wide range of services, solutions and technologies that enable customers, big and small, to pilfer complete advantage of the original era of e-business. For more information about IBM, visit www.ibm.com.
IBM and Tivoli are trademarks of International trade Machines Corporation in the United States, other countries, or both. Other company, product or service names may subsist trademarks or service marks of others.
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