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000-715 - M Alphablox - BrainDump Information

Vendor Name : IBM
Exam Code : 000-715
Exam Name : M Alphablox
Questions and Answers : 122 Q & A
Updated On : March 19, 2019
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000-715 exam Dumps Source : M Alphablox

Test Code : 000-715
Test Name : M Alphablox
Vendor Name : IBM
Q&A : 122 Real Questions

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IBM M Alphablox

Acquisitions by way of IBM and Veritas in flat application market | killexams.com Real Questions and Pass4sure dumps

news

Acquisitions with the aid of IBM and Veritas in flat utility market
  • by way of prosperous Seeley
  • 07/sixteen/2004
  • Like 2d-area baseball groups seeking to purchase .300 hitters, software carriers, in what remains a difficult business ambiance, are searching for to benefit 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 increase its application community's business intelligence (BI) offerings.

    Alphablox application is designed to embed analytics, such as income traits, into commercial enterprise business method 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 be achieved in about a month. Alphablox's operations can be integrated into IBM's suggestions management software company and Alphablox products will soon be accessible from IBM and its company partners, based on the IBM announcement.

    on the equal time, IBM disclosed that despite match hikes in general 2d quarter revenue and gains, utility revenues had been basically flat all over the period. normal 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 method 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 Mark 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 confirm Gartner's predictions that application markets might not return to robust increase 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 muscular tissues | killexams.com 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 have 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 average information integration stack: Gartner’s latest "Magic Quadrant" survey places big 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 Demand conference held closing week, huge Blue didn’t seem to be resting on its laurels. officials touted a couple of new 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 http://esj.com/business/article.aspx?EditorialsID=2493).

    Dynamic warehousing is in response to a couple of tenets, all 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 part of the enterprise system. other key tenets include the should get at and extract potential from unstructured information, and the introduction of an information integration infrastructure—comprising no longer just advice 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? | killexams.com 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 Demand (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 development of the product and its competitors during the last quarter century.

    while on the IOD conference, i was surprised to find new IBM projects the use of database recommendations that were somewhat removed from common relational expertise. I actually have seen during recent product briefings that different companies are additionally the use 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 use has incessantly grown over the years to dominate all 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 opinion that the relational model is rock solid, and right, and should suffer. I thoroughly predict database techniques nonetheless to be concentrated on Codd’s relational mannequin.”2 I consider most database experts would believe Chris – there has in no way been a sound reason to suppose that relational products could be outmoded any time soon. Why then are we seeing other alternatives acting?

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

    it's critical to remember throughout this dialogue that the relational model (in its simplest phrases) is a logical model the place 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, have undergone big building over the route of the ultimate 25 years. despite the fact all of these items help the relational model and put into effect relational operators in the SQL records manipulation language, their adherence to the relational mannequin, and the dialect of SQL they deliver, varies considerably. The SQL alterations between items have turn into so huge as to make migrating between items extremely tricky.

    The SQL ordinary turned into supposed enable handy migration between relational database products by presenting a typical dialect of SQL. The normal, despite the fact, has developed from offering a useful SQL subset, to one which requires considerable talents to thoroughly have in mind. The newest incarnation of the SQL average (SQL:2008) is so large that it's not going any product will ever totally put into effect all 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 standard has less importance these days than it did just a few years ago. Adherence to the SQL ordinary has turn into just about meaningless.

    yet another change between relational database items is how they physically save and manage statistics. features reminiscent of bitmapped indexes, partitioned databases, columnar databases, parallel processing, in-memory databases, materialized views, enhanced optimization etc have 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 contemporary center of attention enviornment in relational database building (and a different enviornment of incompatibility between products) has been aid for extra advanced facts varieties. Examples right 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 have been providing XML aid for a couple of years. This has been performed with the aid of mapping an XML document to a single giant object information type, or by shredding the doc right into a relational schema. These options have inherent functional and performance constraints. a huge object data category makes it possible for for quick insert and retrieval of full files, but suffers from poor 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 have many nested and repeating points, and mapping from XML to a relational schema is a complicated assignment.

    To clear up complications with managing XML statistics, relational database products have beginning adding aid for XML-primarily based storage engines and question languages. The latest liberate of IBM DB2, as an example, helps a separate storage engine for XML statistics. The native XML storage is complemented with XML schema, index, and utility guide.  information can be 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 be trained since it includes additions to the current SQL language.

    XQuery is a XML question language defined by the everywhere web Consortium (see www.w3.org/TR/xquery 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 include SQL statements to mix and correlate XML counsel with relational information

    A Multidimensional point of view

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

    Multidimensional database systems, although, have 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 good example right 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 business general that makes it possible for functions to confer with multidimensional information sources. The communique of messages back and forth is carried out the use 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 range of OLAP carriers have adopted it.

    MDX syntax looks, at the start glance, to be 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 use 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 hot theme, and maybe one point of this theme that affects the development of database processing is the want for analyzing facts in precise time. a technique of doing here is to analyze 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 support the analysis of in-flight information was StreamBase, a company discovered by way of Dr. Michael Stonebraker who's a key researcher within the container of database technology. evaluation in StreamBase is achieved the use of StreamSQL, which extends SQL to help the processing of true-time data streams. StreamSQL retains the capabilities of SQL whereas adding new aspects similar to windowed relational operators, the skill to mix stored facts with streaming data and the vigour so as to add customized good judgment, akin to analytic services.

    a number of other carriers now help true-time evaluation, and there is an trade flow toward establishing StreamSQL as a standard. corporations involved in this effort consist of Coral8, Oracle, StreamBase and Truviso. What makes circulate computing positive is the ability to create predictive advice – the impact a selected typhoon may also have 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 equipment 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 form of movement processing graphs that may also be created on the fly, mapped to a range hardware configurations, and adapted as requests come and go, and relative priorities shift. system S is designed to scale from a single processing node, to excessive efficiency clusters of lots of of processing nodes” (see domino.research.ibm.com/comm/research_projects.nsf/pages/esps.index.html for extra details). it is interesting to notice that the analysis assignment that developed into DB2 become known as gadget R!

    InfoSphere Streams doesn't support StreamSQL, however in its place 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 popular 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 high quantity information involving a wide array of various kinds of statistics. The volume of computing vigor required to do that may also be considerable.

    One enviornment where these volumes and kinds of information can already be found is on the world wide web.  Google, as an example, handles the evaluation of large volumes of statistics on an everyday foundation. To help this processing and evaluation of this extent of facts, Google created a brand new software framework known as MapReduce, which supports parallel computations over large distinctive petabyte files on clusters of computer systems (see en.wikipedia.org/wiki/MapReduce for more particulars). MapReduce divides functions into many small 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 labs.google.com/papers/mapreduce.html for greater details).

    several carriers have 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 task makes use 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 place it's discovered.

    Hadoop has been validated to run on clusters with a few thousand nodes. Yahoo has been the greatest contributor to the venture and makes use of Hadoop appreciably in its web search and advertising organizations. Hadoop was created by way of Doug slicing (now a Yahoo worker) who named it after his infant's stuffed elephant (see en.wikipedia.org/wiki/Hadoop 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 new high-level question language for JSON facts called Jaql. here's getting used to study and increase the performance and optimization of MapReduce processing.

    JSON (JavaScript Object 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 run 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 be general programming model to the reliability and familiarity of the relational database.” 

    abstract

    Readers can see there are massive construction efforts in the database business 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 support hybrid techniques, while other efforts offer options to present items. These efforts will no longer have an effect on the builders of natural operational and analytical applications; however for corporations on the innovative, the brand new applied sciences introduced here are not these we now have become typical with over the last 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 be used for constructing the smart and agile company. With a long time of IT event, he has consulted for dozens of companies all 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 new and evolving counsel applied sciences for company benefit and is a regular contributor to several main print- and web-primarily based business 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 be found in Colin's BeyeNETWORK skilled Channel. make sure to talk over with today!

  • contemporary articles with the aid of Colin White


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    Why Microsoft and Oracle Want to Be Your One-Stop Shop for BI | killexams.com real questions and Pass4sure dumps

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

    What IBM should do to prevent their BI market dominance

  • By Stephen Swoyer
  • 04/18/2006
  • Microsoft Corp. and Oracle Corp. both want your business intelligence (BI) dollars, and they don’t care 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 important question. They already own the database tier and have been steadily building BI capabilities into their RDBMSes for nearly a decade, so can BI market dominance be far behind?

    Oracle Corp. last month announced its first-ever discrete BI offering, Oracle Business Intelligence Suite. Oracle didn’t pull its new BI “suite” from thin air, of course: Last year, the database giant announced plans to decouple its former Oracle Daily Business 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 new Business Intelligence Suite keys less on the BI strengths of the offering (which, in addition to the general and industry-specific analytics Siebel brings to the table, include 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 have prospective customers believe that Oracle—and not Business Objects SA, Cognos Inc., SAS Institute Inc., or any other BI pure 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 business process automation because we’re an applications vendor. We understand how to automate business flows across an organization. We understand [these problems] in ways that a pure-play BI vendor doesn’t understand, because they don’t necessarily own any of the business processes,” says Jagdish Mirani, senior director of applications marketing with Oracle. “Across the board, in terms of applications and platform, we are in a great position to take those forward and connect those.”

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

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

    Oracle’s suite is available in three flavors, although it’s all but certain that two of these—Oracle Business Intelligence Suite Standard Edition One and Oracle Business Intelligence Suite Enterprise Edition—will be considerably more popular than the low-end Oracle Business Intelligence Standard 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 be a no-brainer for most large customers, largely because the middle-tier offering, Standard Edition, does not include 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 last eight years, introducing a reporting component (Reporting Services) in early 2004 and just last 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 partner ProClarity Corp., one of two prominent ISVs that marketed client tool complements for its SQL Server BI stack (the other is Panorama Software Inc.).

    Spin as it might, Microsoft will be 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 chance against larger BI platforms, so vendors of those platforms cannot help but see Microsoft as a competitor,” argues Philip Russom, senior manager of research and services with The Data Warehousing Institute (TDWI).

    “Expect to see more deterioration in dwindling partnerships between Microsoft and leading BI vendors. Even so, ‘co-opetition’ must continue, since BI vendors still have to support SQL Server and its many BI and data warehousing functions, and Microsoft must continue to roll out more BI/DW functions, which all 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 seem like 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 see 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 decision support 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 business 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 development model doesn't support customer-focused efforts very well … [at least] non-technical customers.”

    Cindi Howson, a principal with BIScorecard.com, and (like Madsen) a member of TDWI’s Research Collaborative, likewise questions Oracle’s ability to execute. “I have 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 seem to treat it as important 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 think it's great for Microsoft and for their customers and [sends] a very strong signal that they are serious about the BI market,” she comments, adding that “this would give me more pause than Oracle's announcement last [month].”


    NovoDynamics Appoints New Director of Global Government Solutions | killexams.com real questions and Pass4sure dumps

    NovoDynamics

    To support 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 state organizations find effective 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 firm that works to identify, adapt, and deliver innovative technology solutions to support the mission of the U.S. Intelligence Community.

    “Our government customers have a unique and incredibly complex set of challenges where our high performance OCR and text retrieval solutions are critical for success,” said David Rock, President and CEO of NovoDynamics. “Michael’s experience will ensure these agencies are offered the support they deserve to help them meet their objectives.”

    Yeagley will help agencies entrusted with the nation’s security reap full advantage of NovoDynamics’ solutions. “Having worked in the government space for over 15 years, I’m excited to be driving involvement of this innovative technology with the government,” said Yeagley. “This software solves a real need, and can save lives as well as time and tax dollars, helping military and civilian government organizations support 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 New York.

    For more information on NovoDynamics please visit www.novodynamics.com.

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