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000-M87 exam Dumps Source : IBM Netezza Technical Mastery Test v1

Test Code : 000-M87
Test name : IBM Netezza Technical Mastery Test v1
Vendor name : IBM
: 40 true Questions

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IBM IBM Netezza Technical Mastery

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The open supply HPCC programs platform is a proven, handy to expend solution for managing information at scale. visit their convenient ebook to learn extra about this completely free platform, check pressure some code within the on-line Playground, and earn started these days.

because of Rob Thomas, time-honored manager, IBM Analytics for sharing IBM's pass for helping customers earn to the public cloud with three different systems:

  • Hybrid statistics administration

  • Unified governance

  • facts science platform

  • The integrated Analytics gadget is a fresh unified statistics device designed to give users quick, effortless access to advanced information science capabilities and the potential to drudgery with their statistics throughout deepest, public, or hybrid cloud environments. 

    The system, which comes with a number of facts science tools and encryption constructed-in, allows for records scientists to stand up and working immediately to enhance and deploy their advanced analytics fashions in vicinity — at once the residence the data resides for superior efficiency. since it is according to the IBM regular SQL engine, clients can expend the apparatus to vein workloads to the public cloud to originate automating their businesses with computer learning. The database engine is used across both hosted and cloud-based mostly databases, clients can movement and query facts throughout dissimilar data stores, such as the Db2 Warehouse on Cloud or Hortonworks information Platform.

    at the heart of the integrated Analytics gadget are the IBM data Science journey, Apache Spark, and the Db2 Warehouse — any of which relish been optimized to drudgery along with straightforward administration. The information Science experience provides a set of vital records science tools and a collaborative workspace wherein records scientists can create fresh analytic models that builders can expend to build shrewd purposes at once and easily. The inclusion of Apache Spark, the regular open-source framework, enables in-memory records processing, which speeds analytic applications through permitting analytics to breathe processed directly where the data resides.

    New to this category of choices are the computing device learning capabilities that advance with both the information Science experience and Spark embedded on the system. Having desktop discovering processing embedded capacity that information doesn't exigency to breathe moved to the analytics processing, decreasing techniques and wait instances for analytics to race and response. This greatly simplifies the manner of coaching and evaluating predictive fashions, as smartly because the testing, deployment, and practising because it is any performed in-place.

    “The aggregate of high efficiency and advanced analytics — from the records Science journey to the open Spark platform — gives their traffic analysts the capacity to habits violent statistics investigations with ease and speed,” mentioned Vitaly Tsivin, government vice chairman, at AMC Networks, who has been trying out the apparatus for several months. “The integrated Analytics gadget is located as an fundamental portion of an enterprise records structure answer, connecting IBM Netezza records Warehouse and IBM PureData gadget for Analytics, cloud-based mostly Db2 Warehouse on Cloud clusters, and different records sources.”

    Thomas provides:

    “this is a continuation of their aggressive strategy to create statistics science and desktop discovering more attainable than ever before and to assist groups like AMC, start harvesting their huge statistics volumes throughout infrastructures for insight and intelligence.”

    The built-in structure of the fresh apparatus combines utility enhancements comparable to uneven massively parallel processing (AMPP) with IBM vigour® expertise and scintillate reminiscence storage hardware and builds on the IBM PureData gadget for Analytics, and the ragged IBM Netezza data warehouse offerings. It additionally helps a wide array of information types and information structures, together with everything from the IBM Db2 Warehouse On Cloud to Hadoop and IBM BigSQL. like these options, the integrated Analytics device is built with the IBM common SQL engine, enabling users to seamlessly combine the unit with cloud-based mostly warehouse solutions.

    in addition, trade-normal tools and the accustomed SQL engine deliver clients with an option to additionally circulate these workloads seamlessly to public or private cloud environments with Spark clusters, based on the user’s requirements.   

    The integrated Analytics gadget provides developed-in records virtualization and unreasonable tiers of language compatibility for SQL, kept strategies, and UDX for Netezza®, Oracle®, Db2®, and PostgreSQL. The device also comprises the IBM PureData for Analytics SQL Extension Toolkit and compatibility for the most celebrated IBM PureData for Analytics.

    amongst these capabilities, the brand fresh system additionally accommodates hybrid transactional analytical processing (HTAP). In distinction to regular company environments the residence transaction processing and analytics are race on divorce architectures, HTAP runs predictive analytics, transactional, and ragged facts on the identical database without any performance degradation. and since the apparatus helps HTAP with IBM Db2 Analytics Accelerator for z/OS, the fresh unit seamlessly integrates with IBM z programs infrastructures.

    Rob sees the future of massive statistics and facts science as superior automation of non-value-introduced manual initiatives releasing up the statistics steward to deliver more cost by researching Python and R to improve higher-cost fashions.

    Managing facts at scale doesn’t exigency to breathe complicated. learn how the fully free, open supply HPCC techniques platform makes it less difficult to update, simpler to application, simpler to integrate statistics, and more convenient to maneuver clusters. download and earn any started nowadays.

    issues:

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    IBM Helps traffic partners attain fresh Markets with Netezza home apparatus | killexams.com true Questions and Pass4sure dumps

    ARMONK, N.Y. - Capitalizing on the successful integration of its Netezza acquisition, IBM (NYSE: IBM) has launched a worldwide initiative to attend its company companions extend their analytics portfolio with IBM Netezza appliances. The initiative includes income, advertising, and technical materials to create it more straightforward for partners to market and promote Netezza into industries with mighty require for company analytics comparable to monetary capabilities, healthcare, and power and utilities.

    Netezza home apparatus are a pretty entry ingredient into traffic analytics for IBM companions. in contrast to competing home equipment, Netezza can also breathe up and running in 24 hours and dissect petabytes of information enormously quicker at a lessen cost per terabyte. The simplicity and ease-of-use of Netezza permits companions to perquisite now region analytics directly into the palms of traffic users within every department of a client's corporation including sales, advertising, product construction and human supplies.

    With contemporaneous news, IBM partners can advocate credit-certified purchasers finance Netezza home apparatus via IBM global Financing with quickly approvals on zero percent financing for three hundred and sixty five days. shoppers can also engage learning of bendy payment alternate options and terms together with competitive 24 and 36-month prices with options that allow them to match funds to predicted cash circulate. credit-qualified IBM partners in North the usa can engage capabilities of a brand fresh 24-month hire to vicinity Netezza inner their statistics facilities for demonstration, construction, trying out and training purposes.*

    "Netezza home apparatus provide IBM resellers, programs integrators and independent application companies with a special probability to grow their business," observed Arvind Krishna, regular supervisor, IBM counsel management. "business analytics goes mainstream and IBM's aim is to arm its companions with the perquisite abilities and assist to advocate their valued clientele engage expertise of this trend. These elements are geared to create it handy for their partners to rapidly infuse Netezza into their company model."

    Netezza materials for companions

    - global talents Bootcamps: IBM companions relish entry to more than a dozenno-charge advantage bootcamps to benefit fingers-on working towards on how to deploy,manipulate and preserve Netezza appliances. These four day bootcamps coverboth technical and enterprise foremost practices and participants can earnmastery certification upon completion of the course. Bootcamps arescheduled at customer sites and IBM places in key markets including theUnited States, united kingdom, Australia, China, Malaysia, Taiwan,Argentina, Columbia, Belgium and Poland. further markets will bescheduled any the pass through the yr.

    - Proofs of ideas: IBM partners can bring valued clientele into any of IBM'sglobal network of forty Innovation facilities to examine Netezza home equipment.partners can also construct and optimize a fresh generation of businessanalytics applications to race on precise of Netezza home equipment.

    - software cost Plus (SVP): On October 1, certified IBM companions canbecome authorized to resell Netezza appliances beneath the software ValuePlus application. SVP is IBM's licensed distribution mannequin which offerspartners the capabilities to maximize earnings by reselling Netezza andother IBM products in response to customer wants and a accomplice's investment inskills. Authorization will aid ensure that customers earn the righttechnology, reduce the possibility inherent in any deployment and increasereturn on investment. merits to companions can comprise incrementalco-advertising dollars to drive fresh leads, using a badge to distinguishpartners from their competitors, joint recede to market planning, andfinancial incentives rewarding trade retort earnings.

    - software expense Incentive (SVI): On October 1, qualified IBM companions canearn expense primarily based incentives for picking out fresh income leads and activelyengaging in Netezza sales. SVI rewards companions for his or her contributionthroughout the sales pass with a focus on midmarket alternatives.

    IBM accomplice Fuzzy Logix is a predictive analytics software and functions traffic that allows for valued clientele to embed analytics at once of their enterprise procedures, traffic purposes, cellular devices and net services using in-database analytics that race internal the information warehouse. "Fuzzy Logix will expend these components from IBM to discover global traffic opportunities and convey bigger expense services to their shoppers," noted Mike Upchurch, COO at Fuzzy Logix. "Our company has a long background of working with Netezza and their joint technologies are proven to assist businesses at once recognise the advantages of analytics."

    Netezza appliances are workload optimized systems in response to IBM BladeCenter know-how. A workload optimized gadget is integrated hardware and application designed for industry-particular needs. just as Netezza described the records warehouse apparatus market, IBM described workload optimization with many years of adventure constructing vertically integrated techniques.

    IBM accomplice Aginity specializes in reselling significant databases and high-efficiency analytics to attend consumers flip their records into intelligent, profitable and actionable perception. "Aginity depends on IBM Netezza know-how to advocate their purchasers bring big facts and analytics collectively to create actionable and operational client intelligence, particularly in the retail and media industries," observed Ted Westerheide, Chief Architect at Aginity. "We welcome IBM's huge enterprise analytics portfolio as they add depth to their offerings and expand into fresh markets."

    On September 15, IBM will host a worldwide Webcast that particulars how IBM traffic partners can engage capabilities of those materials to market and promote Netezza home equipment. For greater tips on this and further Netezza Webcasts for companions, debate with: https://www-304.ibm.com/partnerworld/wps/servlet/ContentHandler/swg_com_sfw_data_netezza_webinar.

    For extra tips on IBM global Financing, hunt counsel from: http://www-03.ibm.com/financing/us/lifecycle/acquire/itsoftware.html.

    For more tips on IBM Netezza advantage bootcamps, debate with: www.ibm.com/developerworks/wikis/reveal/im/IBM+Netezza+Bootcamp.

    For more counsel on IBM Innovation centers, visit: http://www.ibm.com/isv/spc.

    extra terms and prerequisites may additionally apply. IBM global Financing offerings are supplied via IBM credit score LLC within the u.s. and different IBM subsidiaries and divisions global to qualified commercial and govt valued clientele. costs for credit-certified valued clientele and are in response to a consumer's credit standing, financing phrases, providing category, device sort and alternate options, and might differ by using country. other restrictions may additionally apply. prices and offerings are area to trade, extension or withdrawal without notice. utility financing is for one-time freight items handiest and is supplied by aptitude of a mortgage.

    Contact:

    Payal Patel Cudia

    IBM

    508-382-8373

    ppcudia@us.ibm.com

    source

    IBM

    internet web site: www.ibm.com

    connected Thomas trade update Thomas For Industry

    000-M87 IBM Netezza Technical Mastery Test v1

    Study usher Prepared by Killexams.com IBM Dumps Experts


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    000-M87 exam Dumps Source : IBM Netezza Technical Mastery Test v1

    Test Code : 000-M87
    Test name : IBM Netezza Technical Mastery Test v1
    Vendor name : IBM
    : 40 true Questions

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    IBM Netezza Technical Mastery Test v1

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    IBM Helps traffic Partners reach fresh Markets with Netezza Appliances | killexams.com true questions and Pass4sure dumps

    ARMONK, N.Y. - Capitalizing on the successful integration of its Netezza acquisition, IBM (NYSE: IBM) has launched a global initiative to attend its traffic Partners expand their analytics portfolio with IBM Netezza appliances. The initiative includes sales, marketing, and technical resources to create it easier for partners to market and sell Netezza into industries with tenacious require for traffic analytics such as monetary services, healthcare, and energy and utilities.

    Netezza appliances are an attractive entry point into traffic analytics for IBM partners. Unlike competing appliances, Netezza can breathe up and running in 24 hours and dissect petabytes of data significantly faster at a lower cost per terabyte. The simplicity and ease-of-use of Netezza allows partners to quickly residence analytics directly into the hands of traffic users within every department of a client's organization including sales, marketing, product progress and human resources.

    With today's news, IBM partners can attend credit-qualified clients finance Netezza appliances through IBM Global Financing with lickety-split approvals on zero percent financing for 12 months. Clients can also engage advantage of supple payment options and terms including competitive 24 and 36-month rates with options that let them match payments to anticipated cash flow. Credit-qualified IBM partners in North America can engage advantage of a fresh 24-month lease to residence Netezza inside their data centers for demonstration, development, testing and training purposes.*

    "Netezza appliances provide IBM resellers, systems integrators and independent software vendors with a unique opening to grow their business," said Arvind Krishna, common manager, IBM Information Management. "Business analytics is going mainstream and IBM's goal is to arm its partners with the perquisite skills and advocate to attend their clients engage advantage of this trend. These resources are geared to create it effortless for their partners to quickly infuse Netezza into their traffic model."

    Netezza Resources for Partners

    - Global Skills Bootcamps: IBM partners relish access to more than a dozenno-charge skills bootcamps to gain hands-on training on how to set up,manage and maintain Netezza appliances. These four day bootcamps coverboth technical and traffic best practices and participants can earnmastery certification upon completion of the course. Bootcamps arescheduled at client sites and IBM locations in key markets including theUnited States, United Kingdom, Australia, China, Malaysia, Taiwan,Argentina, Columbia, Belgium and Poland. Additional markets will bescheduled throughout the year.

    - Proofs of Concepts: IBM partners can bring clients into any of IBM'sglobal network of 40 Innovation Centers to test Netezza appliances.Partners can also build and optimize a fresh generation of businessanalytics applications to race on top of Netezza appliances.

    - Software Value Plus (SVP): On October 1, qualified IBM partners canbecome authorized to resell Netezza appliances under the Software ValuePlus program. SVP is IBM's authorized distribution model which offerspartners the potential to maximize profits by reselling Netezza andother IBM products based on client needs and a partner's investment inskills. Authorization will attend ensure that clients earn the righttechnology, reduce the risk inherent in any deployment and increasereturn on investment. Benefits to partners can comprise incrementalco-marketing funds to drive fresh leads, the expend of a badge to distinguishpartners from their competitors, joint recede to market planning, andfinancial incentives rewarding industry solution sales.

    - Software Value Incentive (SVI): On October 1, qualified IBM partners canearn fee based incentives for identifying fresh sales leads and activelyengaging in Netezza sales. SVI rewards partners for their contributionthroughout the sales process with a focus on midmarket opportunities.

    IBM ally Fuzzy Logix is a predictive analytics software and services company that enables clients to embed analytics directly in their traffic processes, enterprise applications, mobile devices and Web services using in-database analytics that race inside the data warehouse. "Fuzzy Logix will expend these resources from IBM to uncover global traffic opportunities and deliver higher value services to their clients," said Mike Upchurch, COO at Fuzzy Logix. "Our company has a long history of working with Netezza and their joint technologies are proven to attend businesses quickly realize the benefits of analytics."

    Netezza appliances are workload optimized systems based on IBM BladeCenter Technology. A workload optimized system is integrated hardware and software designed for industry-specific needs. Just as Netezza defined the data warehouse appliance market, IBM defined workload optimization with decades of experience pile vertically integrated systems.

    IBM ally Aginity specializes in reselling big databases and high-performance analytics to attend clients gyrate their data into intelligent, profitable and actionable insight. "Aginity relies on IBM Netezza technology to attend their clients bring vast data and analytics together to create actionable and operational customer intelligence, especially in the retail and media industries," said Ted Westerheide, Chief Architect at Aginity. "We welcome IBM's extensive traffic analytics portfolio as they add depth to their offerings and expand into fresh markets."

    On September 15, IBM will host a worldwide Webcast that details how IBM traffic Partners can engage advantage of these resources to market and sell Netezza appliances. For more information on this and additional Netezza Webcasts for partners, visit: https://www-304.ibm.com/partnerworld/wps/servlet/ContentHandler/swg_com_sfw_data_netezza_webinar.

    For more information on IBM Global Financing, visit: http://www-03.ibm.com/financing/us/lifecycle/acquire/itsoftware.html.

    For more information on IBM Netezza skills bootcamps, visit: www.ibm.com/developerworks/wikis/display/im/IBM+Netezza+Bootcamp.

    For more information on IBM Innovation Centers, visit: http://www.ibm.com/isv/spc.

    Additional terms and conditions may apply. IBM Global Financing offerings are provided through IBM Credit LLC in the United States and other IBM subsidiaries and divisions worldwide to qualified commercial and government clients. Rates for credit-qualified clients and are based on a client's credit rating, financing terms, offering type, apparatus sort and options, and may vary by country. Other restrictions may apply. Rates and offerings are theme to change, extension or withdrawal without notice. Software financing is for one-time freight items only and is provided by means of a loan.

    Contact:

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    IBM

    508-382-8373

    ppcudia@us.ibm.com

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    Related Thomas Industry Update Thomas For Industry

    Microsoft SQL Server lickety-split Track Data Warehouse 3.0 Debuts | killexams.com true questions and Pass4sure dumps

    News

    Microsoft SQL Server lickety-split Track Data Warehouse 3.0 Debuts
  • By Kurt Mackie
  • February 15, 2011
  • Microsoft announced a fresh set of reference architectures on Monday that are designed for partners pile lickety-split Track data warehouse products.

    The company rolled out version 3.0 of its SQL Server lickety-split Track Data Warehouse at this week's TDWI World Conference in Las Vegas. According to Microsoft's announcement, this release allows partners to "build and test their own Reference Architectures." Though Microsoft follows up by validating its partners' lickety-split Track configurations, it maintains that version 3.0 enables greater product differentiation for hardware partners.

    Overall, Microsoft offers three software solutions for data warehouse implementations: SQL Server 2008 R2, Parallel Data Warehouse and lickety-split Track Data Warehouse.

    The lickety-split Track products consist of preconfigured servers using SQL Server 2008 R2 Enterprise edition. Microsoft claims that users can scale the solution upward, touching from lickety-split Track (handling tens of terabytes workloads) to SQL Server 2008 R2 Parallel Data Warehouse (handling hundreds of terabytes workloads).

    Fast Track version 3.0 enables configurations that can scale upward to 80 terabytes "on a sole 8-processor server," Microsoft's announcement states. HP currently offers a configuration on an eight-processor server with a "peak data throughput of up to 15GB/s," according to Microsoft.

    Current hardware partners offering SQL Server lickety-split Track Data Warehouse comprise Bull, Dell, EMC, HP and IBM. Microsoft also indicated in its announcement that it is working with some fresh partners on the product, including Cisco Systems, Fujitsu and Hitachi Data Systems. NetApp and EMC are working as storage provider vendors on some of the configurations.

    On top of the hardware ally announcements, WhereScape claims to breathe the first independent software vendor to proffer a solution built for Microsoft's lickety-split Track Data Warehouse 3.0 architecture. The company is now offering its WhereScape RED integrated progress environment, which can breathe used to build SQL Server data warehouses and analysis services cubes.

    Other data warehouse software vendors relish tried the approach of allowing hardware vendors to tweak the software reference architecture, according to James Kobielus, senior analyst at Forrester Research. He cited Oracle's efforts a few years ago in working with IBM and Dell/EMC as an example, but added that Oracle now emphasizes its own software running on Oracle-Sun hardware as portion of its Exadata product family.

    "Microsoft remains far more hardware partner-focused than Oracle in the EDW [enterprise data warehousing] appliance arena," Kobielus stated in an e-mail. "In fact, HP (which was Oracle's hardware ally on Exadata v1 in 2008, and then quickly abandoned) is Microsoft's primary hardware for its high-end PDW [parallel data warehousing] appliances, and is one of several under the lickety-split Track program for lower-capacity, midmarket-focused EDW appliances."

    Microsoft made the "leaders" category in a report authored by Kobielus and published this month. The report, "The Forrester Wave: Enterprise Data Warehousing Platforms, Q1 2011," includes a chart comparing the force of a software vendor's current offerings with the overall force of its strategies. The leaders comprise Teradata, Oracle, Sybase (SAP), IBM, SAP, EMC Greenplum and Netezza (IBM), Microsoft and Vertica Systems.

    The report, available here, describes the rankings in Great detail. Kobielus also talked about his findings recently in a blog post.

    About the Author

    Kurt Mackie is senior advice producer for the 1105 Enterprise Computing Group.


    Examining the situation of PaaS in the year of ‘big data’ | killexams.com true questions and Pass4sure dumps

    This year has already been marked as the year of “big data” in the cloud, with major PaaS players, such as Amazon,...

    Google, Heroku, IBM and Microsoft, getting a lot of publicity. But which providers actually proffer the most complete Apache Hadoop implementations in the public cloud?

    It’s becoming limpid that Apache Hadoop, along with HDFS, MapReduce, Hive, Pig and other subcomponents, are gaining momentum for vast data analytics as enterprises increasingly adopt Platform as a Service (PaaS) cloud models for enterprise data warehousing. To testify Hadoop has matured and is ready for expend in production analytics cloud environments, the Apache Foundation upgraded to Hadoop v1.0.

    The capability to create highly scalable, pay-as-you-go Hadoop clusters in providers’ data centers for batch processing with hosted MapReduce processing allows enterprise IT departments to avoid capital expenses for on-premises servers that are used sporadically. As a result, Hadoop has become de rigueur for deep-pocketed PaaS providers -- Amazon, Google, IBM and Microsoft -- to package Hadoop, MapReduce or both as prebuilt services.

    AWS Elastic MapReduceAmazon Web Services (AWS) was first out of the gate with Elastic MapReduce (EMR) in April 2009. EMR handles Hadoop cluster provisioning, runs and terminates jobs and transfers data between Amazon EC2 and Amazon S3 (Simple Storage Service). EMR also offers Apache Hive, which is built on Hadoop for data warehousing services.

    EMR is fault tolerant for slave failures; Amazon recommends running only the assignment Instance Group on spot instances to engage advantage of the lower cost while noiseless maintaining availability. However, AWS didn’t add advocate for spot instances until August 2011.

    Amazon applies surcharges of $0.015 per hour to $0.50 per hour for EMR to its rates for little to Cluster Compute Eight Extra big EC2 instances. According to AWS: Once you start a job flow, Amazon Elastic MapReduce handles Amazon EC2 instance provisioning, security settings, Hadoop configuration and set-up, log collection, health monitoring and other hardware-related complexities, such as automatically removing faulty instances from your running job flow. AWS recently announced free CloudWatch metrics for EMR instances (Figure 1).

    Google AppEngine-MapReduce According to Google developer Mike Aizatskyi, any Google teams expend MapReduce, which it first introduced in 2004. Google released an AppEngine-MapReduce API as an “early experimental release of the MapReduce API” to advocate running Hadoop 0.20 programs on Google App Engine. The team later released low-level files API v1.4.3 in March 2011 to provide a file-like system for intermediate results for storage in Blobs and improved open-source User-Space Shuffler functionality (Figure 2).

    The Google AppEngine-MapReduce API orchestrates the Map, Shuffle and Reduce operations via a Google Pipeline API. The company decribed AppEngine-MapReduce’s current status in a video presentation for I/O 2012. However, Google hadn’t changed the “early experimental release” description as of Spring 2012. AppEngine-MapReduce is targeted at Java and Python coders, rather than vast data scientists and analytics specialists. Shuffler is limited to approximately 100 MB data sets, which doesn’t qualify as vast data. You can request access to Google’s BigShuffler for larger data sets.

    Heroku Treasure Data Hadoop add-onHeroku’s Treasure Data Hadoop add-on enables DevOps workers to expend Hadoop and Hive to dissect hosted application logs and events, which is one of the primary functions for the technology. Other Heroku vast data add-ons comprise Cloudant’s implementation of Apache CouchBase, MongoDB from MongoLab and MongoHQ, Redis To Go, Neo4j (public beta of a graph database for Java) and RESTful Metrics. AppHarbor, called by some “Heroku for .NET,” offers a similar add-on lineup with Cloudant, MongoLab, MongoHQ and Redis To Go, plus RavenHQ NoSQL database add-ins. Neither Heroku nor AppHarbor host general-purpose Hadoop implementations.

    IBM Apache Hadoop in SmartCloudIBM began offering Hadoop-based data analytics in the shape of InfoSphere BigInsights Basic on IBM SmartCloud Enterprise in October 2011. BigInsights Basic, which can manage up to 10 TB of data, is also available as a free download for Linux systems; BigInsights Enterprise is a fee-based download. Both downloadable versions proffer Apache Hadoop, HDFS and the MapReduce framework, as well as a complete set of Hadoop subprojects. The downloadable Enterprise edition includes an Eclipse-based plug-in for writing text-based analytics, spreadsheet-like data discovery and exploration tools as well as JDBC connectivity to Netezza and DB2. Both editions provide integrated installation and administration tools (Figure 3).  

    My Test-Driving IBM’s SmartCloud Enterprise Infrastructure as a Service: portion 1 and portion 2 tutorials record the administrative features of a free SmartCloud Enterprise tribulation version offered in Spring 2011. It’s not limpid from IBM’s technical publications what features from downloadable BigInsight versions are available in the public cloud. Their Cloud Computing: Community resources for IT professionals page lists only one BigInsights Basic 1.1: Hadoop Master and Data Nodes software image; an IBM representative confirmed the SmartCloud version doesn’t comprise MapReduce or other Hadoop subprojects. Available Hadoop tutorials for SmartCloud interpret how to provision and test a three-node cluster on SmartCloud Enterprise. It appears IBM is missing elements critical for data analytics in its current BigInsights cloud version.Microsoft Apache Hadoop on Windows AzureMicrosoft hired Hortonworks, a Yahoo! spinoff that specializes in Hadoop consulting, to attend implement Apache Hadoop on Windows Azure, or Hadoop on Azure (HoA). HoA has been in an invitation-only community technical preview (CTP or private beta) stage since December 14, 2011.

    Before joining the Hadoop bandwagon, Microsoft relied on Dryad, a graph database developed by Microsoft Research, and a High-Performance Computing add-in (LINQ to HPC) to handle vast data analytics. The Hadoop on Azure CTP offers a preference of predefined Hadoop clusters ranging from little (four computing nodes with 4 TB of storage) to Extra big (32 nodes with 16 TB), simplifing MapReduce operations. There’s no freight to relate the CTP for prerelease compute nodes or storage.

    Microsoft also provides fresh JavaScript libraries to create JavaScript a first-class programming language in Hadoop. This means JavaScript programmers can write MapReduce programs in JavaScript and race these jobs from Web browsers, which reduces the barrier to Hadoop/MapReduce entry. The CTP also includes a Hive add-in for exceed that lets users interact with data in Hadoop. Users can issue Hive queries from the add-in to dissect unstructured data from Hadoop in the chummy exceed user interface. The preview also includes a Hive ODBC Driver that integrates Hadoop with other Microsoft BI tools. In a recent blog post on Apache Hadoop Services for Windows Azure, I interpret how to race the Terasort benchmark, one of four sample MapReduce jobs (Figure 4).

    HoA is due for an upgrade in the “Spring Wave” of fresh and improved features scheduled for Windows Azure in mid-2012. The upgrade will enable the HoA team to admit more testers to the CTP and probably comprise a promised Apache Hadoop on Windows Server 2008 R2 for on-premises or private cloud and hybrid cloud implementations. Microsoft has aggressively reduced charges for Windows Azure compute instances and storage during late 2011 and early 2012; pricing for Hadoop on Azure’s release version probably will breathe competitive with Amazon Elastic MapReduce.

    Big data will stand for more than Hadoop and MapReduceI conform with Forrester Research analyst James Kobielus, who blogged, “Within the vast data cosmos, Hadoop/MapReduce will breathe a key progress framework, but not the only one.” Microsoft also offers its Codename “Cloud Numerics” CTP for the .NET Framework, which allows DevOps teams to fulfill numerically intensive computations on big distributed data sets in Windows Azure.

    Microsoft Research has posted source code for implementing exceed cloud data analysis in Windows Azure with its Project “Daytona” iterative MapReduce implementation. However, it appears open source Apache Hadoop and related subprojects will dominate cloud-hosted scenarios for the foreseeable future.

    PaaS providers who proffer the most automated Hadoop, MapReduce and Hive implementations will gain the greatest following of vast data scientists and data analytics practitioners. Microsoft provisioning the exceed front recess for traffic intelligence (BI) applications gives the company’s vast data offerings a head start among the growing number of self-service BI users. Amazon and Microsoft currently provide the most complete and automated cloud-based Hadoop vast data analytics services.

    Roger Jennings is a data-oriented .NET developer and writer, a Windows Azure MVP, principal consultant of OakLeaf Systems and curator of the OakLeaf Systems blog. He's also the author of 30+ books on the Windows Azure Platform, Microsoft operating systems (Windows NT and 2000 Server), databases (SQL Azure, SQL Server and Access), .NET data access, Web services and InfoPath 2003. His books relish more than 1.25 million English copies in print and relish been translated into 20+ languages.



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