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Test Code : 000-715
Test appellation : M Alphablox
Vendor appellation : IBM
real questions : 122 real Questions

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IBM M Alphablox

Acquisitions by course of IBM and Veritas in flat application market | real Questions and Pass4sure dumps


Acquisitions with the aid of IBM and Veritas in flat utility market
  • by course of prosperous Seeley
  • 07/sixteen/2004
  • Like 2d-area baseball groups seeking to purchase .300 hitters, software carriers, in what remains a difficult industry ambiance, are searching for to profit a aggressive edge via acquisitions.

    This week IBM, which pronounced flat second quarter profits in its application company on Thursday, introduced the acquisition of privately held Alphablox Corp. to augment its application community's industry intelligence (BI) offerings.

    Alphablox application is designed to embed analytics, such as income traits, into commercial enterprise industry way administration functions, the announcement defined. monetary details for the buy of Mountain View, Calif.-primarily based Alphablox had been now not launched, however IBM observed the sale is anticipated to subsist achieved in about a month. Alphablox's operations can subsist integrated into IBM's suggestions management software company and Alphablox products will soon subsist accessible from IBM and its company partners, based on the IBM announcement.

    on the equal time, IBM disclosed that despite match hikes in generic 2d quarter revenue and gains, utility revenues had been basically flat everybitof over the period. conventional 2d quarter salary rose 15% to just beneath $2 billion on earnings up 7% to $23.2 billion. IBM officials spoke of salary from the combined WebSphere, DB2, Rational, Tivoli and Lotus application items totaled $2.7 billion, the identical because the 2nd quarter of 2003. operating techniques revenues declined 2% to $577 million.

    In different acquisition information this week, Veritas utility Corp., Mountain View, Calif., introduced that it's buying Invio application, a privately held Los Altos, Calif.-primarily based company of IT way automation expertise, for $35 million in money.

    Veritas plans to add Invio's system automation technology to its utility computing product line, based on a statement through impress Bregman, Veritas govt vp of product operations.

    Veritas changed into yet another enterprise on a Gartner list of those reporting disappointing or lackluster earnings within the 2nd quarter. Others on the record included BMC utility, laptop acquaintances, FileNet, PeopleSoft, Siebel methods and webMethods.

    "fresh salary warnings from vendors substantiate Gartner's predictions that application markets might not return to robust augment until 2006," stated Joanne Correia, vice president and lead analyst of Gartner's application trade analysis unit.

    about the writer

    rich Seeley is net Editor for Campus technology.

    massive Blue Flexes Its statistics Integration sinewy tissues | real Questions and Pass4sure dumps

    huge Blue Flexes Its facts Integration muscle tissues

    IBM now fields the industry’s strongest ordinary information integration stack, industry watchers say, however massive Blue isn’t resting on its laurels.

  • through Stephen Swoyer
  • 10/24/2007
  • It’s challenging to believe, but more than two and a half years possess handed because IBM Corp. acquired the former Ascential application Corp. That’s corresponding to an eon in technology time.

    Over that identical length, large Blue has stitched collectively the makings of a respectable—possibly a market-leading—statistics integration platform, headed through its IBM assistance Server product. That offering—which helps information cleansing, extraction, and transformation—attracts on a passel items or connected applied sciences, including WebSphere DataStage (the former Ascential ETL device), together with WebSphere QualityStage (nee Ascential), and others.

    in consequence, in keeping with market research huge Gartner Inc., IBM now fields the business’s strongest impartial information integration stack: Gartner’s latest "Magic Quadrant" survey places gigantic Blue out in front of longtime champ Informatica Corp. within the records integration "Leaders" category—forward of usual avid gamers equivalent to SAS Institute Inc. and iWay utility (both "Visionaries"), and out in front of company Objects SA, Oracle Corp., and Microsoft Corp.

    At this 12 months’s tips On claim conference held closing week, huge Blue didn’t look to subsist resting on its laurels. officials touted a yoke of newfangled information-integration-oriented news items—including the provision of edition 9.5 of its DB2 Warehouse—and also trumpeted IBM’s growth in executing on the "dynamic warehousing" strategy it announced prior this yr (see

    Dynamic warehousing is in response to a yoke of tenets, everybitof of which play to massive Blue’s strengths (or perceived strengths) within the broader guidance integration market. according to Marc Andrews, application director for facts warehousing with IBM, dynamic warehousing addresses, first, the want for true-time, operational access to assistance saved in the information warehouse.

    somewhere else, he continues, dynamic warehousing emphasizes the significance of analytics—and specially analytics embedded as portion of the enterprise system. other key tenets involve the should ensnare at and extract potential from unstructured information, and the introduction of an information integration infrastructure—comprising no longer just recommendation integration, per se, however MDM, records great, and other technologies—that's tightly built-in with the warehouse itself.

    Are Relational Database techniques keeping up with the counsel Processing needs of agencies? | real Questions and Pass4sure dumps

    Saturday June 7, 2008, become the twenty fifth anniversary of DB2, and IBM became celebrating the anniversary at its fresh suggestions on claim (IOD) convention in Las Vegas in October. The anniversary became exceptionally poignant for me since it become DB2 that introduced me to the USA in 1980 from the united kingdom. My position back then was to work with the early customer DB2 examine websites around the globe. I left IBM in 1983, simply as IBM DB2 become released, however has been unique to observe the progress of the product and its competitors during the eventual quarter century.

    while on the IOD conference, i was surprised to find newfangled IBM projects the exercise of database recommendations that were Somewhat removed from common relational expertise. I actually possess seen during recent product briefings that different companies are additionally the exercise of alternate options to existing relational database applied sciences. this article explores why this vogue is occurring and discusses its likely affect on the future of relational methods.

    a bit bit of history

    besides the fact that children relational database techniques had a shaky delivery, their exercise has incessantly grown over the years to dominate everybitof points of IT processing from high-extent transaction functions to gigantic-scale records warehouses. these days, relational items symbolize an $18.6 billion a 12 months business,1 and to cite Chris Date (who popularized Dr. E. F. Codd’s analysis work on the relational model), “[It’s] my feeling that the relational model is rock solid, and right, and should suffer. I thoroughly forecast database techniques nonetheless to subsist concentrated on Codd’s relational mannequin.”2 I account most database experts would believe Chris – there has in no course been a sound intuition to suppose that relational products could subsist outmoded any time soon. Why then are they seeing other alternatives acting?

    Let’s are trying to respond this query by reviewing the construction of relational items during the eventual quarter century, and view how relational know-how is used in the existing IT atmosphere.

    it's censorious to recollect throughout this dialogue that the relational model (in its simplest phrases) is a ratiocinative model the space data is kept in rows (tuples) and columns (attributes) of tables (relations), and manipulated via relational operators akin to limit, projection and join. The model does not define how the information is actual kept and managed on disk, or how the relational operators are applied in a data manipulation language.    

    Twenty-five Years of SQL development

    IBM DB2 and competing relational database products, such as Oracle Database and Microsoft SQL Server, possess undergone gigantic structure over the route of the ultimate 25 years. despite the fact everybitof of these items attend the relational model and rescue into sequel relational operators in the SQL records manipulation language, their adherence to the relational mannequin, and the patois of SQL they deliver, varies considerably. The SQL alterations between items possess whirl into so huge as to obtain migrating between items extremely tricky.

    The SQL ordinary turned into conjectural enable handy migration between relational database products by presenting a typical patois of SQL. The normal, despite the fact, has developed from offering a useful SQL subset, to one which requires considerable talents to thoroughly possess in mind. The newest incarnation of the SQL impartial (SQL:2008) is so large that it's not going any product will ever totally rescue into sequel everybitof of its capabilities. many of its aspects are not relational in any respect. There are also a few SQL extensions (corresponding to SQL/XML) that further add to the scope of the language. The precise SQL aspects supported via items range, and this coupled with a large number of proprietary capabilities added via companies ability that the benchmark has less significance these days than it did just a few years ago. Adherence to the SQL ordinary has whirl into just about meaningless.

    yet another change between relational database items is how they physically rescue and manage statistics. features reminiscent of bitmapped indexes, partitioned databases, columnar databases, parallel processing, in-memory databases, materialized views, enhanced optimization etc possess enabled database carriers to distinguish their products from opponents. many of these elements are aimed toward enhancing the efficiency for massive-scale implementations.

    XML support

    A concomitant heart of attention enviornment in relational database structure (and a different enviornment of incompatibility between products) has been aid for extra advanced facts varieties. Examples privilege here encompass XML records, spatial records and multimedia content material. several products also permit builders so as to add their own statistics forms.

    About 80% of assistance in a company is unstructured, and there's increasing activity in storing and analyzing this assistance in relational programs. here's commonly completed with the aid of first changing the unstructured assistance into an XML layout.

    The main relational database methods possess been providing XML aid for a yoke of years. This has been performed with the aid of mapping an XML document to a lone giant remonstrate information type, or by shredding the doc privilege into a relational schema. These options possess inherent functional and performance constraints. a huge remonstrate data category makes it possible for for quick insert and retrieval of plenary files, but suffers from impecunious search and extract efficiency. Shredding XML to relational tables is costly at insert time, however allows quicker SQL queries and updates. The issue with shredding, youngsters, is that XML documents can possess many nested and repeating points, and mapping from XML to a relational schema is a complicated assignment.

    To lucid up complications with managing XML statistics, relational database products possess dawn adding aid for XML-primarily based storage engines and question languages. The latest liberate of IBM DB2, as an example, helps a part storage engine for XML statistics. The native XML storage is complemented with XML schema, index, and utility guide.  information can subsist accessed using SQL/XML and XQuery.

    SQL/XML allows doc retrieval from the native XML storage. It additionally gives SQL functions with sub-document degree search and extract capabilities with the aid of enabling XQuery or XPath services in SQL statements. For a SQL programmer, SQL/XML is convenient to subsist trained since it includes additions to the current SQL language.

    XQuery is a XML question language defined by the everywhere web Consortium (see for more details). it's appropriate for queries that deserve to post outcomes as XML, to question XML kept interior or outside the database, or to span relational and XML sources. XQueries can optionally involve SQL statements to mix and correlate XML counsel with relational information

    A Multidimensional point of view

    Relational items possess skilled competition through the years. within the early days there changed into a quick skirmish with remonstrate database techniques, but this without detain fizzled out, and relational methods prevailed.

    Multidimensional database systems, although, possess competed efficaciously with relational products for some time via aiding so-referred to as on-line analytical processing, or OLAP. Oracle Essbase (got from Hyperion software) is a very suited sample privilege here. initially, these multidimensional products had their personal proprietary OLAP manipulation languages, but this turned into frequently an inhibitor to their adoption. The movement via items towards aiding the XML for analysis (XMLA) mitigated this concern.

    XMLA is a de facto industry generic that makes it possible for functions to consult with multidimensional information sources. The communique of messages back and forth is carried out the exercise of internet standards (HTTP, soap and XML). The question language used is mdXML, which is in line with Microsoft’s Multidimensional Expressions (MDX) language. while MDX is not an open regular, but fairly a Microsoft owned specification, a wide sweep of OLAP carriers possess adopted it.

    MDX syntax looks, at the start glance, to subsist similar to that of SQL. The fundamental change between SQL and MDX is the capability of MDX to reference numerous dimensions. although it is feasible to exercise SQL completely to query cubes, MDX offers commands which are designed specially to retrieve data as multidimensional facts structures with any variety of dimensions.

    To compete with the multidimensional database items, relational database programs introduced cubing engines that extracted information from relational tables and offered the outcomes to applications in a multidimensional layout. IBM InfoSphere Warehouse Cubing services, for instance, is a multidimensional evaluation server that makes it possible for functions to access data stored in DB2 tables the usage of OLAP capabilities. it is based on expertise IBM got from Alphablox, and gives move-dimensional calculations, and time sequence and parallel duration analyses. Dimensional navigation makes it possible for slice, dice, drill and pivot operations.

    true-Time Processing

    Operational company intelligence is a peppery theme, and maybe one point of this theme that affects the progress of database processing is the want for analyzing facts in precise time. a technique of doing here is to anatomize statistics in flight or in movement, rather than data at leisure, which is customarily the case with information warehousing.

    one of the first corporations to back the analysis of in-flight information was StreamBase, a company discovered by course of Dr. Michael Stonebraker who's a key researcher within the container of database technology. evaluation in StreamBase is achieved the exercise of StreamSQL, which extends SQL to attend the processing of true-time data streams. StreamSQL retains the capabilities of SQL whereas adding newfangled aspects similar to windowed relational operators, the skill to mix stored facts with streaming data and the vigour so as to add customized suited judgment, akin to analytic services.

    a number of other carriers now attend true-time evaluation, and there is an trade flow toward establishing StreamSQL as a standard. corporations involved in this application consist of Coral8, Oracle, StreamBase and Truviso. What makes circulate computing positive is the ability to create predictive recommendation – the repercussion a selected typhoon may also possess on the trading of oil, for example.

    IBM is also involved in actual-time information analysis (including the hassle to standardize StreamSQL). It lately introduced a number of items in this enviornment together with InfoSphere Streams, which is based on the rig S research mission. to quote IBM, “system S provides an execution platform and capabilities for user-developed purposes that ingest, filter, analyze, and correlate potentially huge volumes of continuous statistics streams. It supports the composition of recent applications in the configuration of movement processing graphs that may also subsist created on the fly, mapped to a sweep hardware configurations, and adapted as requests approach and go, and relative priorities shift. system S is designed to scale from a lone processing node, to excessive efficiency clusters of lots of of processing nodes” (see for extra details). it is captivating to notice that the analysis assignment that developed into DB2 become known as gadget R!

    InfoSphere Streams doesn't back StreamSQL, however in its space comes with a construction language (and compiler) called SPADE (move processing software declarative engine) that has been peculiarly developed for processing streams. SPADE comes with a toolkit of approved operators comparable to windowed relational operators and constructs to specify consumer-defined operators.

    InfoSphere Streams is a component of IBM’s company experience processing (BEP) effort, which includes acquisitions akin to AptSoft (software for complicated adventure processing), Cognos Now! (operational BI technology), InfoDyne (analysis of low latency information), and solid tips technology (in-reminiscence data caching and analysis).

    Cloud Computing

    The previous dialogue highlights the course of the industry toward helping the processing and analysis of tall quantity information involving a wide array of various kinds of statistics. The volume of computing verve required to sequel that may also subsist considerable.

    One enviornment where these volumes and kinds of information can already subsist found is on the world wide web.  Google, as an example, handles the evaluation of large volumes of statistics on an everyday foundation. To attend this processing and evaluation of this extent of facts, Google created a brand newfangled software framework known as MapReduce, which supports parallel computations over large distinctive petabyte files on clusters of computer systems (see for more particulars). MapReduce divides functions into many petite blocks of labor. Google has applied lots of of MapReduce programs and, upwards of one thousand MapReduce jobs are achieved on Google's clusters each day (see for greater details).

    several carriers possess tailored this framework for aiding cloud computing, and MapReduce implementations were written in C++, Java, Python and different languages. Google and IBM are teaming as much as construct giant information centers to vigour a grid computing initiative based on MapReduce for school analysis and courses in allotted laptop programming.

    The joint IBM and Google stint makes exercise of Hadoop, which is an open source dispensed computing platform written in Java that implements MapReduce using the Hadoop allotted File gadget (HDFS). HDFS creates distinctive replicas of facts blocks for reliability, inserting them on compute nodes around the cluster. MapReduce can then procedure the facts the space it's discovered.

    Hadoop has been validated to Hurry on clusters with a few thousand nodes. Yahoo has been the greatest contributor to the venture and makes exercise of Hadoop appreciably in its web search and advertising organizations. Hadoop was created by course of Doug slicing (now a Yahoo worker) who named it after his infant's stuffed elephant (see for extra details).

    yet another IBM research car involving MapReduce and Hadoop is Cloud9, which is a scalable facts analytics and statistics mining platform for cloud computing. It uses a brand newfangled high-level question language for JSON facts called Jaql. here's getting used to study and augment the performance and optimization of MapReduce processing.

    JSON (JavaScript remonstrate Notation) is a lightweight statistics-interchange structure that gives an alternative to the usage of XML. it is a textual content structure it really is completely language independent, however uses conventions that are widespread to programmers of C-like languages. Wikipedia has a pleasant abstract of JSON's advantages over other information formats comparable to XML. Jaql is a question language for JSON. however Jaql is designed particularly for JSON, it borrows aspects of SQL, XQuery, and PigLatin.

    yet another relational database enterprise it's supporting MapReduce is Greenplum. Greenplum MapReduce allows programmers to Hurry analytics against gigantic-scale datasets kept in and outside of the Greenplum Database. it's going to execute each MapReduce and SQL at once inside Greenplum’s parallel dataflow engine, which is at the heart of the Greenplum Database. to cite the business, “Greenplum MapReduce brings the advantages of a growing to subsist generic programming model to the reliability and familiarity of the relational database.” 


    Readers can contemplate there are massive construction efforts in the database industry for aiding analytical processing in opposition t large volumes and sophisticated information involving now not best structured, but also unstructured records. a few of this work involves extending relational systems to back hybrid techniques, while other efforts present options to present items. These efforts will no longer possess an sequel on the builders of natural operational and analytical applications; however for corporations on the innovative, the brand newfangled applied sciences introduced here are not these they now possess become typical with over the eventual 25 years.

    end Notes:

  • Charles Babcock, “IBM DB2’s 25th Anniversary: delivery of an accidental Empire,” suggestions Week, June 10, 2008.
  • C. J. Date, The Relational Database Dictionary, posted by using O’Reilly, 2006.
  • Colin WhiteColin White

    Colin White is the founding father of BI analysis and president of DataBase associates Inc. As an analyst, educator and author, he's smartly regularly occurring for his in-depth expertise of facts administration, assistance integration, and enterprise intelligence applied sciences and how they may also subsist used for constructing the smart and agile company. With a long time of IT event, he has consulted for dozens of companies everybitof through the realm and is a widely wide-spread speaker at leading IT pursuits. Colin has written a large number of articles and papers on deploying newfangled and evolving counsel applied sciences for company profit and is a regular contributor to several main print- and web-primarily based industry journals. For ten years he became the conference chair of the Shared Insights Portals, content material management, and Collaboration conference. He became additionally the convention director of the DB/EXPO exchange demonstrate and convention.

    Editor's notice: extra articles and components can subsist found in Colin's BeyeNETWORK skilled Channel. obtain confident to talk over with today!

  • contemporary articles with the aid of Colin White

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    Why Microsoft and Oracle Want to subsist Your One-Stop Shop for BI | real questions and Pass4sure dumps

    Why Microsoft and Oracle Want to subsist Your One-Stop Shop for BI

    What IBM should sequel to prevent their BI market dominance

  • By Stephen Swoyer
  • 04/18/2006
  • Microsoft Corp. and Oracle Corp. both want your industry intelligence (BI) dollars, and they don’t keeping who knows it. In fact, both vendors recently made moves that—to varying degrees—put them at odds with their partners in the broader BI tools space. This begs an distinguished question. They already own the database tier and possess been steadily structure BI capabilities into their RDBMSes for nearly a decade, so can BI market dominance subsist far behind?

    Oracle Corp. eventual month announced its first-ever discrete BI offering, Oracle industry Intelligence Suite. Oracle didn’t tug its newfangled BI “suite” from thin air, of course: eventual year, the database giant announced plans to decouple its former Oracle Daily industry Intelligence technology from the Oracle Application Server. Then, in late September, Oracle acquired the former Siebel Systems Inc., which—in addition to market-leading CRM expertise—gave it credible analytic capabilities.

    Oracle’s strategy in marketing its newfangled industry Intelligence Suite keys less on the BI strengths of the offering (which, in addition to the generic and industry-specific analytics Siebel brings to the table, involve data integration, data mining and analysis, and reporting capabilities) than on the enterprise applications expertise of its PeopleSoft, J.D. Edwards, and Siebel components.

    Officials would possess prospective customers believe that Oracle—and not industry Objects SA, Cognos Inc., SAS Institute Inc., or any other BI sheer play, for that matter—is best equipped to service their BI needs because Oracle, more than these vendors (or any other vendor, such as SAP AG or IBM Corp., for example) understands enterprise applications.

    “We understand industry process automation because we’re an applications vendor. They understand how to automate industry flows across an organization. They understand [these problems] in ways that a pure-play BI vendor doesn’t understand, because they don’t necessarily own any of the industry processes,” says Jagdish Mirani, senior director of applications marketing with Oracle. “Across the board, in terms of applications and platform, they are in a much position to consume those forward and connect those.”

    Not that Oracle is downplaying the BI strengths of its newfangled suite, however.

    “What they really announced as the vision and philosophy for pulling everybitof of this together is that Oracle industry Intelligence Suite is the most comprehensive [offering], filled with best-of-breed components; that it’s hot-pluggable and open to everybitof environments, whether those subsist various enterprise applications, or installed databases and data warehouses, or existing BI tools or security environment—really anything that is available in their customers’ IT architectures,” says Paul Rodwick, vice-president of BI marketing with Oracle.

    Oracle’s suite is available in three flavors, although it’s everybitof but inevitable that two of these—Oracle industry Intelligence Suite benchmark Edition One and Oracle industry Intelligence Suite Enterprise Edition—will subsist considerably more approved than the low-end Oracle industry Intelligence benchmark Edition, which includes Siebel Analytics and a limited version of Oracle’s database and is limited to two CPUs.

    Enterprise Edition is a high-end entry that includes Siebel Analytics and Microsoft Office support. It should subsist a no-brainer for most large customers, largely because the middle-tier offering, benchmark Edition, does not involve Siebel Analytics. Oracle, it would seem, is asking most customers to pony up the cash for the Enterprise Edition and its bundled Siebel Analytics.

    Microsoft’s Come-to-BI Moment

    Microsoft, so often charged with mimicking the innovations of others, kicked things off in late 1998, when it delivered a SQL Server 7.0 database that included integrated OLAP, data mining, and data integration (called extraction, transformation, and loading, or ETL, in BI-speak) capabilities. Microsoft has refined its SQL Server-based BI stack over the eventual eight years, introducing a reporting component (Reporting Services) in early 2004 and just eventual November shipping a revitalized SQL Server 2005 database.

    Until earlier this month, however, Redmond had not explicitly ventured into the BI front-end tools space. That changed when Microsoft acquired long-time ally ProClarity Corp., one of two prominent ISVs that marketed client utensil complements for its SQL Server BI stack (the other is Panorama Software Inc.).

    Spin as it might, Microsoft will subsist hard pressed to refute the allegation that it now has designs beyond the server-based BI market in which it first rose to prominence. “Reporting Services [and] Report Designer … were only slight threats to other vendors. But now Microsoft has a product that has a random against larger BI platforms, so vendors of those platforms cannot attend but contemplate Microsoft as a competitor,” argues Philip Russom, senior manager of research and services with The Data Warehousing Institute (TDWI).

    “Expect to contemplate more deterioration in dwindling partnerships between Microsoft and leading BI vendors. Even so, ‘co-opetition’ must continue, since BI vendors quiet possess to back SQL Server and its many BI and data warehousing functions, and Microsoft must continue to roll out more BI/DW functions, which everybitof tools leverage.”

    ProClarity gives Microsoft a robust, SQL Server-oriented client environment, complete with OLAP viewing, dashboarding, and data visualization capabilities. Coupled with SQL Server’s increasingly compelling back-end capabilities—Integration Services (Microsoft’s would-be enterprise ETL solution), Analysis Services (Microsoft’s data mining and OLAP solution), and Reporting Services (Microsoft’s report authoring, distribution, and life cycle management solution)—the addition of ProClarity’s front-end tools lets Microsoft credibly tout a more complete BI stack than just about any other vendor—except Oracle, of course.

    A Tale of Two Strategies

    Oracle and Microsoft already own the database tier. They’ve successfully pursued “stealth BI” strategies in which they’ve seeded the market with their own homegrown BI capabilities. In this respect, then, their eventual expansion into—and dominance of—the broader BI market might look fancy a foregone conclusion. Not necessarily. In fact, industry watchers are divided over the potential efficacy Oracle’s and Microsoft’s respective BI power plays.

    Many contemplate Oracle’s BI suite gambit as analogous to what historian and cultural critic Daniel Boorstin famously called a “pseudo event”—in this case, as an announcement that’s more hype than substance.

    Mark Madsen, a conclusion back manager with online retailer Harry & David and a member of TDWI’s Research Collaborative, bemoans Oracle’s historically lackluster execution in the BI tools segment. “[Oracle’s] track record on the apps side of the industry with reporting and analysis has been relatively poor. Siebel could change that, but I'm not so sure,” he says. “I don't know how the two company cultures compare. Oracle's internal progress model doesn't back customer-focused efforts very well … [at least] non-technical customers.”

    Cindi Howson, a principal with, and (like Madsen) a member of TDWI’s Research Collaborative, likewise questions Oracle’s ability to execute. “I possess seen some improvement in their marketing efforts, but relative to pure-play vendors and to Microsoft, it's marginal at best. For Oracle, the money is not in BI. So frankly, they don't look to treat it as distinguished from a resources point of view or product capability,” she points out.

    Howson, on the other hand, sees Microsoft’s ProClarity gambit as the anti-pseudo-event analogue to Oracle’s BI suite announcement. “I account it's much for Microsoft and for their customers and [sends] a very strong signal that they are grave about the BI market,” she comments, adding that “this would give me more pause than Oracle's announcement eventual [month].”

    NovoDynamics Appoints newfangled Director of Global Government Solutions | real questions and Pass4sure dumps


    To back its growing base of federal customers and prospects, NovoDynamics®, the leading provider of state-of-the-art optical character recognition (OCR) and text retrieval for Middle Eastern Languages – and now Chinese and Russian - has appointed Michael S. Yeagley as the company’s first Director of Global Government Solutions. Yeagley brings over 15 years experience in successfully helping federal and situation organizations find effectual technology solutions to mission-critical challenges. Most recently, Yeagley served as Director of Federal Sales at Saffron Technology, where he worked extensively with the Intelligence and Defense communities. NovoDynamics is an In-Q-Tel portfolio company. In-Q-Tel is the strategic, not-for-profit investment solid that works to identify, adapt, and deliver innovative technology solutions to back the mission of the U.S. Intelligence Community.

    “Our government customers possess a unique and incredibly involved set of challenges where their tall performance OCR and text retrieval solutions are censorious for success,” said David Rock, President and CEO of NovoDynamics. “Michael’s experience will ensure these agencies are offered the back they deserve to attend them meet their objectives.”

    Yeagley will attend agencies entrusted with the nation’s security harvest plenary odds of NovoDynamics’ solutions. “Having worked in the government space for over 15 years, I’m excited to subsist driving involvement of this innovative technology with the government,” said Yeagley. “This software solves a real need, and can rescue lives as well as time and tax dollars, helping military and civilian government organizations back their missions.”

    Before joining Saffron, Yeagley worked at several other IT firms, either leading or involved with their government initiatives, including Axway, SPSS, Alphablox, and Sterling Software. He is a graduate of Saint Lawrence University in newfangled York.

    For more information on NovoDynamics gladden visit

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