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000-939 IBM Tivoli Change and Configuration Management Database V7.1.1

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000-939 exam Dumps Source : IBM Tivoli Change and Configuration Management Database V7.1.1

Test Code : 000-939
Test title : IBM Tivoli Change and Configuration Management Database V7.1.1
Vendor title : IBM
braindumps : 138 true Questions

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IBM IBM Tivoli Change and

IBM's Watson anywhere Highlights verisimilitude Of A Multi-Cloud World | killexams.com true Questions and Pass4sure dumps

abstract

The bulletins IBM made at final week's admiration 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 situation organizations may also wish to boost and/or flee AI-primarily based applications in private clouds or their personal information centers, the company is licensing Watson to exist able to flee locally.

Ever since the upward thrust to prominence of cloud computing, we've got seen corporations grapple with the course to optimal feel about and leverage this fresh skill of computing. Some organizations, especially internet-concentrated ones, dove in head first and now hold their gross actuality relative on services infatuation 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 average 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 climb designed with the cloud in intellect, the transition to cloud computing has been a gross 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 paramount within the early days of cloud computing, many organizations hold been fearful of getting locked into this fresh 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 sum started to peer that numerous doable alternatives hold been attainable. What's been occurring within the cloud computing world over the final 12-18 months is greater than simply a simple extend in aggressive alternatives. or not it's a significant growth in considering a course 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 discrete companies.

In a means, we're seeing cloud computing evolve in the identical course to typical computing trends, however at a a lot quicker pace. The preparatory AWS choices, as an example, weren't that conceptually discrete from mainframe-based mostly efforts, concentrated round a platform controlled by means of a lone supplier. The combination of latest choices from different companies in addition to several types of supported workloads could exist viewed as a hypothetical 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 coincident pile of "serverless" models for cloud computing can exist regarded roughly analogous to the advancements in locality computing.

in this context, announcements that IBM made finally week's admiration 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 situation initiative they had been going to exist making Watson AI capabilities available across AWS, Azure, and GCP, in addition to their own IBM Cloud offerings. moreover, for situations where organizations might also are looking to boost and-or flee AI-primarily based functions in private clouds or their personal facts centers, the company is licensing Watson to exist capable of flee locally.

building on the company's Cloud private for statistics as a base platform, IBM is offering a convoke of Watson APIs or direct access to the Watson assistant across sum 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 compass of cloud computing offerings. in fact, corporations can Get 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 fresh microservices-based service leveraging cloud-native platforms and protocols, the compass of flexibility being provided to companies looking to circulation greater of their efforts to the cloud are turning out to exist dramatically.

providers who are looking to address these wants will must undertake this greater springy classification of considering and reconcile or enhance capabilities that appropriate no longer best the verisimilitude of the multi-cloud world, but the latitude of decisions that these fresh alternatives are starting to allow. The implications of multi-cloud are enormously better, although, than simply having a convoke of carriers or selecting to host unavoidable 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 grasp cloud computing into the mainstream.

Disclaimer: one of the crucial creator's consumers are companies within the tech business.

Disclosure: None.

SeekingAlpha

IBM researchers predict 5 innovations will exchange their lives in 5 years | killexams.com true Questions and Pass4sure dumps

IBM analysis has an extended background of inventing the longer term, so the massive tech enterprise’s researchers grasp 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 exact 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 exist proven additional,” he wrote. “to meet the calls for of this crowded future, they can want fresh applied sciences and devices, scientific breakthroughs, and fully fresh 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 comprise assisting farmers maximize crop yields and establishing ways to curb the epidemic of fritter that destroys 45 percent of their meals deliver. they are also working to create a safety internet to trap pathogens and contaminants before they manufacture people sick. and that they’re inventing methods to withhold 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 employ of fewer elements

Above: Farming’s digital doubles will assist feed a growing to exist population the usage of fewer components.

graphic credit score: IBM

How execute you provide a farmer who has certainly not set foot in a fiscal institution entry to credit? through digitizing and taking pictures sum 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 employ of AI, they can employ this statistics to accurately forecast crop yields, which in whirl will provide banks and economic institutions the statistics points they deserve to provide credit to support farmers expand — probably money does grow on timber after all.

Blockchain will slice back food waste

Above: Blockchain can maintain meals from going dangerous.

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 powerful deal to plant, order, and ship. meals loss will minimize enormously, and the produce that leads to patrons’ carts may exist more energizing — when blockchain expertise, IoT instruments, and AI algorithms exist a portion of forces. [Blockchain is a decentralized ledger that is secure and transparent, and it can exist used to label products from harvest to consumption.]

Mapping the microbiome will protect us from execrable micro organism

Above: course of life club: Mapping the microbiome will give protection to us from unhealthy micro organism

picture credit: IBM

inside 5 years, food protection inspectors world wide will gain a fresh superpower: the competence to manufacture employ of hundreds of thousands of microbes to offer 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 fresh approach that allows us to research their genetic make-up cost-with no trouble, microbes will narrate us a gross lot about the security of what they consume.

AI sensors will solemnize foodborne pathogens at home IBM

Above: IBM is the employ of AI sensors to map ailments.

photograph credit score: IBM

within 5 years, the area’s farmers, food processors, and grocers — together with its billions of home cooks — should exist capable of realize unhealthy contaminants comfortably of their meals. sum 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 situation and in every lone situation 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 solemnize 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 fresh plastics can exist completely changed. every thing from milk cartons to cookie containers to grocery baggage and cheese cloths may exist recyclable, and polyester manufacturing groups may exist in a position to grasp up refuse and whirl it into something valuable. This transition can exist powered by innovations infatuation VolCat, a catalytic chemical system that can flip PET, a character 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 fresh lifestyles into historic plastic. currently, more than 272 million metric a gross lot plastic are produced each and every 12 months sum over the world, with one-quarter of that made from PET. VolCat aims to manufacture employ of a precise combination of chemical substances, warmth, and coerce 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 hold already approach proper via now. I’ll fade away the results that you should judge.

  • The classroom will exist taught you.
  • buying local will beat online.
  • medical doctors will employ your DNA to withhold you well.
  • A digital guardian will protect you on-line.
  • The city will aid you are animated in it.

  • analysis: IBM CEO broadcasts Chapter 2 of Cloud and AI at IBM suppose 2019 | killexams.com true Questions and Pass4sure dumps

    In 2013, IBM had a wakeup name.

    It misplaced a vital cloud deal at the CIA to AWS. IBM protested the contract exposing previously personal details. In a high profile determination, arbiter Thomas Wheeler dominated against IBM despite the evident 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 manufacture a circulation to Get into the common public cloud online game or it might exist omitted within the cold, an abominable lot infatuation 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 privilege 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 fresh 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 sum those mission-essential apps and enabling shoppers to control statistics, workloads, and apps and flux them between discrete clouds. here is one thousand billion dollar probability and IBM intends to exist #1.

    IBM isn't on my own in its aspiration. gigantic groups infatuation Cisco, VMware, and even HPE hold a bit an identical aspirations. As does ServiceNow and a bunch of smaller expert companies. and naturally, the common public cloud giants including AWS and Microsoft hold their personal concepts about Chapter 2 of the cloud period.

    To declare a management situation in Chapter 2, IBM is spending $34B to purchase purple Hat. here is a massive flux 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. a bit 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 abominable 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, saying 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 whirl 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 employ model. This, of course, became the primary of a lot of innovations and services - sum obtainable with the swipe of a credit card, to exist 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 capable deal more desirable agility. Shadow IT-powered the subsequent side 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 sum issues Microsoft and making Azure, not windows, the core of its universe; and 3) bundling office 365 to betray salary from no longer handiest IaaS but SaaS.

    Joined through Google, which used its paramount world search infrastructure to stake its declare within the cloud, the massive three lead the course for a brand fresh 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).

    commercial enterprise IT Economics 1990-2010SiliconAngle.com

    enterprise IT Economics 2010-2030SiliconAngle.com

    Key features in the Charts:

  • traditionally, the marginal can suffuse of application techniques zero while features hold negative economies of scale;
  • With cloud - infrastructure services tune more intently to application economics - enabling huge scale (and profitability) for these with extent (i.e. AWS, Microsoft, and Google);
  • traditional infrastructure businesses fight to dangle on to legacy Put in bases;
  • Cloud agencies with a SaaS portfolio (Oracle, IBM, Microsoft) hold “up-the-stack” value advantages they can employ as a breastwork against the commoditization of their companies.
  • IBM’s possibilities for Chapter 2 management count on facts

    earlier than diving into the crimson Hat piece of the puzzle, they must ingredient returned to statistics. In their view, IBM is working carefully with valued clientele to build a digital trade material where statistics continues to exist the underpinning of its approach to pressure a brand fresh 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 titanic capabilities trade and profound trade talents it’s earned the privilege 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 fresh company models. We’re seeing this in healthcare, fiscal services, agriculture, power, insurance and basically sum industries through which IBM has a presence globally.

    IBM’s possibility as they notice it is to support organizations exist watchful the course to manufacture funds using facts. not necessarily with the aid of without delay selling their information however figuring out how to monetize facts. What they notice 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 fresh the course 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 fresh details about crimson Hat at think, most likely because of regulatory concerns. but with red Hat, IBM can enable a fresh 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 fresh breed of digital trade builders.

    believe statements made by course of Ginni Rometty and Jim Whitehurst privilege through their mini roadshow after asserting the purple Hat acquisition. Ginni stored saying “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 titanic Put in base of functions consumers (a $20+B captive probability in their estimate) at which it could possibly ingredient purple Hat PaaS tooling to modernize software portfolios and build the long flee digital trade platform for/with shoppers.

    So out of the chute, IBM can automatically commence scaling crimson Hat’s enterprise, marrying profound industry talents, the sprawling IBM SaaS portfolio, the IBM Cloud (the situation relevant), AI infused in sum 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 coincident application pile practices to codify its profound trade erudition and construct out transformative trade and AI structures to support incumbent groups compete within the digital period.

    The competitive panorama

    if you don’t personal a public cloud, you fade 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 rigor from a tenacious position in networking. As networks flatten - Cisco will also exist 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 exist 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 titanic SaaS portfolio. infatuation 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 flee 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 Get it on IBM’s cloud.

    Microsoft obviously will hold its drawl 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 tenacious information perspective.

    Google Cloud is resetting with fresh management and is taking portion 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 tenacious case for a lone versus a multi-cloud strategy - arguing that diverse clouds are much less comfy, more advanced and more expensive. whereas credible in its place, the verisimilitude is multi-cloud is infatuation multi-seller. There’s not a procurement czar inside of each company to exist able to impose a lone cloud. As such if AWS sees an chance to control varied clouds it's going to enter the space in their view.

    last thoughts

    the brand fresh “innovation cocktail” combines statistics + AI + Cloud. a touchstone 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, infatuation Microsoft, is cloudifying its offerings to aid its customers’ digital transformations. via bringing the cloud to its products, pile statistics networks with shoppers, applying AI in every lone situation and leveraging crimson Hat, it will probably catalyze a brand fresh class of enterprise builders and fade challenging after the multi-cloud haphazard that exists.

    We accept as true with, besides the fact that children, that the multi-cloud world should exist messy. today, multi-cloud is as a gross lot a multi- (cloud) dealer prevalence versus a deliberate approach. in spite of this, consumers will continue to opt for horses for courses - signification the privilege cloud for the remedy 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 tidings there is it offers IBM profound visibility and relationships into nearly sum global industries. The downside is that enterprise doesn’t scale as well. As such IBM’s most efficient power is its most beneficial problem. The unique probability facing IBM is to codify that profound industry talents in utility, the usage of statistics as the key ingredient for brand fresh enterprise applications built on cloud-native PaaS tooling - and scaling to the cloud, any cloud.  

    it truly is a differentiable anecdote and one that protects IBM from getting Amazon’d while at the identical 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 betray that Elephants can dance, dash and flee marathons.

    comply with sum the IBM suppose 2019 reside video coverage here: https://www.thecube.net/ibmthink2019

    ship us feedback on Twitter @furrier @dvellante


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    IBM Tivoli Change and Configuration Management Database V7.1.1

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    Server Specs: IBM updates Tivoli CMDB | killexams.com true questions and Pass4sure dumps

    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 divide departments within a company.

    The fresh software will exist available on June 30 and includes:

  • IBM Tivoli Change and Configuration Management Database -- Serves as the platform that automatically discovers and federates IT information across the data center, including details about servers, storage devices, networks, middleware, applications and data, and helps the IT staff understand the relationships and dependencies among these various components.
  • IBM Tivoli Availability Process Manager-- Helps IT pros understand how outages and performance issues will repercussion the business. It identifies failing components and launches diagnostic tools.
  • IBM Tivoli Release Process Manager-- Automates the deployment of software releases, updates and patches.
  • IBM Tivoli Storage Process Manager -- Discovers configuration items in the storage environment in relation to the rest of the IT infrastructure and works with existing Tivoli storage products.

    IBM said the fresh suite is built on service-oriented architecture and can exist customized to a particular industry, such as healthcare or retail. A capacity planning module will succeed in the second half of 2006.

    BMC Software Inc., Fujitsu Ltd., Hewlett-Packard Co. and IBM recently announced plans to create a fresh interoperability specification designed to enable customers to federate and access CMDB information from multivendor data centers. The companies device to submit a draft specification to an industry standards organization later this year.

    Platespin launches server consolidation planning toolToronto-based PlateSpin today announced the common availability of a server consolidation planning tool. The software, called the Consolidation Planning Module for PlateSpin PowerRecon, is designed to determine the optimal appropriate between application workloads and server resources.

    The tool takes hardware, software and performance information and recommends an optimal allocation of servers to the most confiscate virtual hosts, such as VMware ESX Server, VMware Server or Microsoft Virtual Server. It uses CPU, disk, network, remembrance 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 halt of June 30 will receive this fresh module for free.

    CA rolls out fresh mainframe database managementCA Inc. this week rolled out a two fresh releases of its Unicenter Database Management software, DB2 UDB for z/OS and IMS for z/OS databases.

    CA's fresh 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 comprise extended support for DB2 UDB for z/OS v8, as well as a number of usability improvements, such as:

  • Greater flexibility in naming of indexes and objects with improved long title support
  • Accelerated problem identification with enhanced data sharing and displays, such as aggregate or individual data plane views
  • Enhanced database availability during maintenance tasks with support for online schema evolution
  • Improved problem analysis and regulatory compliance with extended demur support and log tracking to identify and assess changes
  • Accelerated copying, reorganization and recovery tasks with support for fresh partitioning schemes.

    CA says it has also streamlined deployment and usability of its Unicenter Database Management r11.5 for IMS, giving database administrators fresh capabilities to:

  • Ensure access to related IMS databases with faster prefix resolution
  • Create quick-witted backup and recovery strategies for IMS
  • Reorganize indexes for high-availability big databases and full-function IMS databases for improved performance
  • Exploit hardware for greater availability during backup processing
  • Accomplish IMS online reorganizations with minimal to no repercussion on running batch message processing.

    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 end to deliver "day one" support 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 exist completed by the halt of June. fiscal details were not disclosed.

    IBM says the Rembo products will manufacture it easier on a data seat 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 comprise the city of Munich and the University of Wisconsin.

    "Rembo software makes installing an operating system across thousands of physical and virtual computers posthaste and efficient," said Al Zollar, common 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 capitalize of IT service management."

  • Dig Deeper on IBM system z and mainframe systems

    IBM Acquires Yet Another trade Intelligence ISV | killexams.com true questions and Pass4sure dumps

    IBM Acquires Yet Another trade Intelligence ISV

    Unicorn’s technology will aid beef up the SOA and MDM capabilities of titanic Blue’s WebSphere and Rational product families.

  • By Stephen Swoyer
  • 05/17/2006
  • 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 final week devoured noiseless another tasty vendor, in this case Unicorn Solutions, Inc., a provider of metadata modeling and management tools. Representatives drawl IBM plans to incorporate Unicorn’s technology into future releases of its WebSphere middleware and Rational app dev products to aid beef up the SOA and MDM capabilities of both families.

    Unicorn’s technology will also find its course into titanic 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) titanic 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 exist 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 fresh 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 also condition 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 also 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 fresh 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) titanic Blue’s master data management (MDM) ambitions. At the time, IBM officials maintained that titanic Blue already had sum of the pieces of a complete information management, or MDM, solution.

    “We mind to exist more conservative about what they promulgate than some of their competitors. Really, today is the first time they announced what sum of these strategic acquisitions hold been about,” said Dan Druker, director of master data management with IBM, at the time. “MDM—you can approach at it in a lot of different ways. There are sum kinds of different entry points into MDM, but they wanted to exist very conservative about not tipping their hand too much, because we’ve spent a big amount of money on this strategy.”

    Apparently, titanic Blue didn’t disburse enough. But perhaps that’s not quite a objective assessment.

    In the past, IBM hasn’t been fearful to drag the trigger on technology acquisitions that chiefly aid 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 exist 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 condition how they device 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.”

    About the Author

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


    IBM Acquires Collation | killexams.com true questions and Pass4sure dumps

    SOURCE: IBM

    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 particular 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 also helps shrink the time it takes to learn and remedy a problem.

    "Without a solid understanding of how different pieces of the IT mystify appropriate together, a lone change can leisurely down or halt an entire system," said Al Zollar, common manager, IBM Tivoli Software. "Collation software allows companies to visualize different change scenarios so they can resolve the implications before problems occur."

    In today's world of tangled software applications, understanding the relationship between technology and the trade it supports can greatly better 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 also notice how technology supports trade processes, such as order entry, supply chain and enterprise resource management.

    Using IBM Tivoli systems management software, customers can grasp the information captured by Collation software and model what will happen when a change is made. They can also 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 fresh trade requirements by shortening the time it takes to release fresh 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 course companies manage their infrastructures. With IT service management, companies can manipulate IT processes the identical course they manage trade processes, which helps better efficiency, effectiveness, and agility. Collation technology will become portion of the IBM Tivoli Change and Configuration Management Database, a service management platform that provides a lone view across multiple sources of IT information.

    Collation products will exist available direct from IBM, through IBM Global Services, and through IBM trade Partners.

    About IBM

    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 compass of services, solutions and technologies that enable customers, big and small, to grasp complete advantage of the fresh 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 exist trademarks or service marks of others.



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