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000-M97 exam Dumps Source : IBM InfoSphere Big Insights Techncial(R) Mastery

Test Code : 000-M97
Test Name : IBM InfoSphere Big Insights Techncial(R) Mastery
Vendor Name : IBM
: 39 Real Questions

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IBM IBM InfoSphere Big Insights

IBM Updates SmartCloud Analytics, Expands InfoSphere huge information Capabilities #ibmiod | killexams.com Real Questions and Pass4sure dumps

IBM has a few announcements from its suggestions on Demand 2012 convention in Las Vegas this week, and because the identify of the event implies, many are big records and BI oriented.

IBM is including new analysis elements to InfoSpere Streams for monitoring operational effectivity, safety investigation and renovation and troubleshooting. additionally, IBM SmartCloud is increasing its analytics offerings to small and medium sized enterprise with Analytic solutions, a predictive analytics product.

advice on Demand

information on demand is what it's all about. or not it's now not simply the name of IBM's week lengthy conference in the barren region, but the promise of quicker and extra agile IT. considered one of IBM's strongest segments this 12 months has been advice administration, and its BI and big information equipment are part of that mix. 

screenshot-ibmiod-2012.jpgAs greater statistics is created, the market for methods that make feel of that statistics is booming.

peculiarly within the mobile world, the need for huge statistics realizing is immediate. InfoSphere Streams is a very good fit in this trade since it can analyze all that incoming information and discover customer usage developments and the way they are the usage of items and features. US cellular company sprint has been previewing the equipment, and it has been able analyze and control community information ninety% sooner than earlier than, Von McConnell, govt director of the Innovation and advanced Labs at dash, observed in a press release.

sprint is an exquisite large business, and clearly they have unique wants, but so do small and medium sized organizations. IBM has released the Analytic answers tool to assist these companies do essential analytics work devoid of the huge budgets and IT groups found at areas like dash. 

Analytic answers can provide insight on fraud, customer loyalty and preservation, as an instance, and can analyze assistance from social, geospatial and laptop data.

InfoSphere BigInsights + Digital Analytics Accelerator

As for social, one of the vital different huge disruptors of all things IT, IBM has introduced some new points to InfoSphere BigInsights for understanding social media. or not it's called InfoSphere records Explorer, and it helps find and navigate available information to display issues, visualize relationships, determine the price of records and set up context of data usage.

IBM Digital Analytics Accelerator helps entrepreneurs be aware customer sentiment to create centered advertising and promotions, enhance consumer retention and operate evaluation to predict consumer wants. here's part of the PureData gadget for Analytics, and complex analysis of petabytes of statistics can be done in only minutes.

IBM is already a Gartner Magic Quadrant leader in Social application and commercial enterprise content administration and put at the side of these new offerings it at least maintains the company aggressive in one of probably the most rapidly turning out to be segments of IT.


IBM device X Reference architecture for Hadoop: IBM InfoSphere BigInsights Reference architecture | killexams.com Real Questions and Pass4sure dumps

IBM

offered via: IBM

subject matter: utility

structure: PDF

The reference architecture offers a predefined hardware configuration for imposing InfoSphere BigInsights 2.1 on gadget x hardware. The reference architecture can be applied in two ways to aid MapReduce workloads or Apache HBase workloads. MapReduce is a core component of Hadoop that provides an offline, batch-oriented framework for high-throughput records access and disbursed computation. Apache HBase is a schemaless, No-SQL database it is constructed upon Hadoop to give excessive throughput random facts reads and writes and information caching. The predefined configuration gives a baseline configuration for an InfoSphere BigInsights cluster and provides adjustments for an InfoSphere BigInsights cluster this is running HBase. The predefined configurations may also be modified in accordance with the specific client requirements, similar to reduce can charge, stronger performance, and enhance reliability.


WANdisco continuous Hadoop certified on IBM InfoSphere BigInsights | killexams.com Real Questions and Pass4sure dumps

SAN RAMON, CA, Sep 18, 2014 (Marketwired by means of COMTEX) -- WANdisco (WAND) nowadays introduced non-stop Hadoop's certification for distribution on IBM's InfoSphere BigInsights platform, providing pre-configured analytics, scalability, and administration facets for organisations to straight away set up and yield price from Hadoop.

together, non-stop Hadoop and InfoSphere BigInsights will provide a price-useful answer to shop, manipulate, and analyze information in Hadoop with guaranteed efficiency, security, and continual availability to aid important applications on a global scale.

continuous Hadoop is available now for brand spanking new and existing deployments of InfoSphere BigInsights, and should drastically expand its distribution via IBM's customer base.

"we are pleased to announce their partnership with IBM and non-stop Hadoop's certification on IBM InfoSphere BigInsights. as the variety of production Hadoop deployments grows to guide companies of all sizes, the want for continuous availability is clear," spoke of David Richards, WANdisco Co-Founder and CEO. "IBM clients can now take advantage of continuous Hadoop's a hundred% hardware utilization and assured uptime at deployment, decreasing operating fees and providing quicker time to cost."

Availability

continuous Hadoop for IBM InfoSphere BigInsights is accessible now. discuss with here to learn more and click here to request a free assessment.

About WANdisco

WANdisco (WAND) is a provider of commercial enterprise-competent, non-stop application solutions that allow globally disbursed companies to satisfy contemporary information challenges of relaxed storage, scalability and availability. WANdisco's items are differentiated via the company's patented, active-active statistics replication technology, serving essential high availability (HA) necessities, including Hadoop massive records and utility Lifecycle administration (ALM), together with Apache Subversion and Git. Fortune international one thousand organizations, including Juniper Networks, Motorola, and Halliburton, count on WANdisco for efficiency, reliability, security and availability. For additional information, please discuss with www.wandisco.com.

About IBM huge statistics & Analytics

day after day they create 2.5 quintillion bytes of information generated through quite a lot of sources -- from climate information, to posts on social media websites, and from purchase transaction records to healthcare medical images. At IBM they agree with that information is rising because the world's newest resource for aggressive skills, and analytics is the important thing to make experience of it. IBM is helping valued clientele harness large facts & Analytics to deliver insights essential to make more desirable choices, create value, and carry that price to valued clientele and society. IBM has the realm's deepest and broadest portfolio of large data & Analytics technologies and solutions, spanning services, utility, research and hardware.

Apache Hadoop and Subversion are emblems of the Apache application foundation (ASF). All other product and enterprise names herein may well be logos of their registered house owners.

IBM and InfoSphere BigInsights are registered emblems of IBM and/or its affiliates.

Contact: Michael Tauscher e-mail contact (925) 380-1735

supply: WANdisco, Plc.

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IBM InfoSphere Big Insights Techncial(R) Mastery

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Vestas Wind Systems Turns to IBM Big Data Analytics for Smarter Wind Energy | killexams.com real questions and Pass4sure dumps

RANDERS, Denmark and LAS VEGAS, Oct. 24, 2011 /PRNewswire/ -- IBM (NYSE: IBM) today announced that Danish energy company Vestas Wind Systems will use IBM big data analytics software and powerful IBM systems to improve wind turbine placement for optimal energy output. Turbine placement is a major challenge for the renewable energy industry, and Vestas expects to accelerate the adoption of wind energy internationally and expand its business into new markets by overcoming this challenge.

Vestas is addressing the issue of turbine placement by using IBM BigInsights software and an IBM "Firestorm" supercomputer to analyze petabytes of structured and unstructured data such as weather reports, tidal phases, geospatial and sensor data, satellite images, deforestation maps, and weather modeling research to pinpoint installation. The analysis, which used to take weeks, can now be done in less than one hour.

"Vestas turbines operate for decades and clients demand to know how much energy they will produce and what their return on investment will be before they are installed," said Lars Christian Christensen, Vice President of Plant Siting and Forecasting, Vestas Technology R&D. "Using IBM software and systems, they can now answer these questions quickly to identify new markets for wind energy and help their clients meet aggressive renewable energy goals."

In the siting process, once a turbine is operational, Vestas engineers will use the new software and supercomputer to predict its performance, analyze how each blade reacts to weather changes, and determine the best times to schedule maintenance. The company expects to analyze even more diverse and bigger weather data sets reaching 20-plus petabytes over the next four years.

If power companies do not install wind turbines in the right locations, they may not produce enough electricity to justify wind energy investments and keep electricity costs low. Major factors for proper turbine placement include wind turbulence and direction, and space, ecological and aesthetic considerations.

With today's news, Vestas will tap IBM's analytics expertise for its Plant Siting & Forecasting Department in Denmark where company engineers design next generation wind technologies for clients. At the department, IBM will provide the company with access to a team of big data analytics project specialists, 24 by 7 technical support, and virtual access to IBM's big data development lab in Silicon Valley to explore new ways to apply analytics to wind energy.

"Vestas shows how large organizations can tap big data analytics and ever more powerful computers to make smarter business decisions that can substantially accelerate growth while tackling some of the world's most pressing issues," said Arvind Krishna, General Manager, IBM Information Management. "The ability for their clients to gain insights from any data, regardless of what type it is, how fast it is moving, or where it comes from, has the potential to transform entire industries."

The American Wind Association reports that if the United States can increase its wind energy capacity to 20 percent by 2030, the country can reduce greenhouse gas emissions by 7,600 tons of CO2, reduce water consumption in the electric sector by 4 trillion gallons, and reduce consumer demand for natural gas by 12 percent.

Across Europe, early success stories are generating new demand for technologies that can speed up the delivery and placement of wind farms. The German Association of Energy and Utilities recently reported that the country has set a new record during the first half of 2011 with 20.8 percent of the country's power production coming from renewable resources like wind. New Zealand adopted an aggressive energy strategy this year that calls for 90 percent of its electricity to be generated by renewable resources such as wind.

IBM InfoSphere BigInsights software is the result of a four year effort of more than 200 IBM Research scientists and is powered by the open source technology, Apache Hadoop. The software provides a framework for large scale parallel processing and scalable storage for terabyte to petabytes-level data plus the ability to enable "what-if" scenarios with its BigSheets component. BigInsights is part of IBM's Big Data software platform, which includes InfoSphere Streams software that analyzes data coming into an organization and in real time and monitors it for any changes that may signify a new pattern or trend.

Vestas is running BigInsights software on 1,222 connected, workload optimized System x iDataPlex servers that make up Firestorm and are capable of 150 trillion calculations per second -- equivalent to 30 million calculations per Danish citizen per second. Firestorm is #53 on the Top500 list of the world's fastest supercomputers and the third largest commercial system on the list. The new IBM supercomputer replaces an HP system that was less powerful and not as energy efficient.

Vestas is the world leader in providing high-tech wind power systems. Since 1979, the company has supplied over 44,500 wind turbines in 67 countries and today employees more than 21,000 people. Vestas sold its first wind turbine to North America in 1981 and since then has provided more than 11,000 turbines to the United States and Canada. The company's Canadian sales headquarters is in Toronto, North American headquarters in Portland, Oregon, and its global headquarters is located in Randers, Denmark.

For more information on Vestas including images and video, visit www.vestas.com.

For more information on IBM Business Analytics and Information Management software, please visit the online press kit: www.ibm.com/press/IOD2011.

Follow IBM and Analytics & Information on Twitter #baforum.


IBM Narrows Big Data Skills Gap By Partnering With More Than 1,000 Global Universities | killexams.com real questions and Pass4sure dumps

ARMONK, N.Y., Aug. 14, 2013 /PRNewswire via COMTEX/ -- IBM IBM, +0.35% today announced that it has added nine new academic collaborations to its more than 1,000 partnerships with universities across the globe, focusing on Big Data and analytics -- all of which are designed to prepare students for the 4.4 million jobs that will be created worldwide to support Big Data by 2015. The company also announced more than $100,000 in awards for Big Data curricula.

As part of IBM's Academic Initiative, the company is launching new curricula focusing on Big Data and analytics with Georgetown University, George Washington University, Rensselaer Polytechnic Institute and the University of Missouri, as well as a new addition to IBM's partnership with Northwestern University. Internationally, IBM is partnering with Dublin City University, Mother Teresa Women's University in India, the National University of Singapore, and the Philippines' Commission on Higher Education to offer data-driven degree programs, coursework and specialization tracks.

As part of today's news, IBM is also announcing the winners of its 2013 Big Data and Analytics Faculty Awards in which 14 university professors from around the world will receive $10,000 each for top rated curricula designed to develop the business and technical skills required for data-crunching jobs. The winning proposals include programs focused on computer science/electrical engineering, business administration, economics, strategic management, and math and statistics.

"Leaders in business, education and government must take action to foster a new generation of talent with the technical expertise and unique ideas to make the most of this tsunami of Big Data," said Richard Rodts, Manager of Global Academic Programs, IBM. "To narrow this skills gap, IBM is committed to partnering with universities around the world to provide students with Big Data and analytics curriculum to make an impact in today's data-driven marketplace."

The U.S. Bureau of Labor predicts a 24 percent increase in demand for professionals with data analytics skills during the next eight years. The need for this specialized talent is fueled by the explosion of Big Data -- or the 2.5 quintillion bytes of information generated daily from such sources as sensors, RFID networks, mobile devices and social media. As a result, employers in every industry are seeking job candidates who can uncover insights from data to solve problems, act on findings, enter new markets, and gain a competitive advantage.

To narrow this gap, IBM is collaborating with more than 1,000 academic partners to develop curriculum that reflects the mix of technical and problem-solving skills that is necessary to prepare students for Big Data and analytics careers, across all industries. These collaborations span a variety of majors -- including business, marketing, mathematics and health services -- providing schools with access to IBM Big Data and analytics software, curriculum materials, case study projects, and IBM data scientists who visit classes as guest lecturers.

Announced today, the following academic institutions are joining forces with IBM:

Dublin City University (DCU) is teaming with IBM to create a new Masters Degree in Computer Science with Big Data, Business Analytics and Smarter Cities. The Masters in Computing (Data Analytics) course content has been developed jointly by IBM and DCU to equip students with deep analytical skills to support the changing face of business today and will help graduate students to develop critical IT skills for urban analysis, consumer behavior, social networks, sentiment analysis, healthcare, and network security. The new program will provide a variety of exclusive resources including access to real-world IBM case studies from cities and organizations around the world. It will be delivered by experts from DCU and IBM and will facilitate collaborative research projects between the two organizations.

The George Washington University School of Business is partnering with IBM to launch a Master of Science degree in Business Analytics this fall. The program is offered full-time for students and part-time for working professionals seeking to enhance their careers. On the technical side, the degree features courses ranging from how to build predictive models to hands-on software training. On the experiential side, the program offers workshops on project management and communications. To help students fine-tune their Big Data skills for specific industries, GWU's degree also features career track electives, such as healthcare, supply chain, marketing and sports analytics.

The Georgetown University McDonough School of Business recently offered a one-week intensive course during the week of July 22, 2013 providing MBA students with a hands-on introduction to Big Data. Students used emerging technologies including IBM InfoSphere BigInsights to dive deeper into sales data, for example, to answer questions about consumer trends, including spending and buying patterns. The course introduced students to the language and methods associated with Big Data, enabling students to learn how to improve business decision-making. The university will continue to teach Big Data methodology in select courses moving forward.

The University of Missouri College of Engineering's Department of Computer Science will offer a new undergraduate course titled "Big Data Analytics" in the fall 2013 semester to provide students with experience using advanced analytics technologies and techniques that enable businesses to extract insights from Big Data with sophistication, speed and accuracy. Using IBM InfoSphere BigInsights and IBM InfoSphere Streams software, students will process and explore data to extract insight to make informed decisions, whether that data is in-place, in motion or at rest, in large volumes, or structured or unstructured.

Mother Teresa Women's University in India is using IBM analytics to promote academic success, by training their management students on predictive analysis and reporting solutions. The recent three-month long course, designed by IBM for the university, has enabled educators to teach more effectively, helping management students to gain critical analytical skills, and support more accurate and insightful institutional research and decision-making.

The National University of Singapore (NUS) and IBM, in partnership with the Singapore Economic Development Board, will establish the NUS Center for Business Analytics to develop capabilities in Big Data and analytics. The Center will offer an IBM-supported Master of Science in Business Analytics (MSBA) degree and IBM will provide faculty and students with industry expertise, as well as access to the company's analytics solutions. The MSBA program will be conducted by full-time leading experts and faculty members from the business and computing schools of NUS.

Northwestern University School of Continuing Studies, which launched two analytics graduate degrees last year with IBM, is expanding Big Data curricula in two of its continuing education programs. Northwestern's Master of Science degrees in Information Systems and in Predictive Analytics will both include a new "Analytics and Business Intelligence" track, designed to give students experience solving real-world business challenges through use of Big Data technologies. Students will learn about current and emerging Big Data solutions in a project-based environment that provides a foundational knowledge around Big Data -- while also inspiring students to exploit Big Data by studying business applications and trends.

The Philippines' Commission on Higher Education (CHED) is cooperating with IBM to develop specialization tracks on Business Analytics, as a supplement to existing business administration and information technology programs offered by colleges and universities across the country. The special tracks, to be rolled out this 2013-2014 school year will feature an interdisciplinary approach, taking into consideration the relationships among different stakeholders who deal with data, within businesses and organizations. The new 'electives' will include an internship and cover a range of core Big Data and analytics skill-sets, including business analytics, enterprise data management and modeling.

Rensselaer Polytechnic Institute is combining forces with IBM to offer a new graduate program in fall 2013, to prepare students for Big Data and analytics careers. Offered through the Lally School of Management and Technology, Rensselaer's new Master of Science in Business Analytics degree will be a one year, 30 credit program for which IBM will provide curriculum materials, case study projects, software solutions and guest lecturers. IBM recently donated a Watson system to Rensselaer, to help faculty and students explore new uses for cognitive computing and expand their understanding of Big Data and analytics.

IBM Awards Universities for Big Data and Analytics Curricula Development

As part of today's news, IBM also announced the winners of its 2013 Big Data and Analytics Faculty Awards in which 14 university professors will receive $10,000 each for top rated curricula and research that mix business and technical skills. The fourteen winning proposals include programs and research focused on computer science/electrical engineering, business administration, economics, strategic management, and math and statistics.

The winners include:

-- Nitesh Chawla, Frank Freimann Collegiate, Associate Professor, University of Notre Dame: Develop novel data science program that requires immersion of an individual in a domain to innovate by conducting data exploration, feature engineering, machine learning, inform system design and database design, and conduct what-if analysis.

-- David Dischiave, Assistant Professor, Syracuse University, School of Information Studies: Assess computing best practices for industry professionals to select the computing for appropriate use (fit for purpose) where the solution can be deployed for best results. Findings will guide the development of course materials for the data analytics, database management systems, database security, data warehousing and data mining courses.

-- David Douglas, Professor, University of Arkansas: Development of course modules designed for teaching customer insights and discovery using a number of datasets hosted by the University of Arkansas including demographic data provided by major corporations with a focus on data mining and visualization of Big Data.

-- Michael Garrett, Professor, Universiteit Leiden (Netherlands), General & Scientific Director of the Netherlands Institute for Radio Astronomy (ASTRON): Develop a data intensive digital radio astronomy instrument to study time-variable radio phenomena, with a particular focus on SETI (Search for Extraterrestrial Intelligence). A range of novel algorithms will be developed for this system, including generic anomaly detection, statistical analysis and machine learning techniques that would be applicable to other fields outside of astronomy.

-- Jose Incera, Professor, Instituto Tecnologico Autonomo de Mexico: Develop big data laboratory projects and courseware to enable students to become world-class Data Architects, Information Strategists, Big Data Developers, and Business Analysts.

-- John Keane, Professor University of Manchester (UK): Develop technical case studies investigating design/implementation of big data problems for use in enhanced data engineering course.

-- Svetlana Maltseva, Dean of Business Informatics, Higher School of Economics (Moscow): Develop a new master's program focused on development of appropriate skills of the students in Big Data.

-- Jeff Pittges, Associate Professor, Radford University: Extend Database Instructional Games (DIG) online learning environment to include InfoSphere BigInsights for text analysis of customer feedback and add Cognos to replace Microsoft Access Reports and QlikView dashboards.

-- Jeffrey Popyack, Associate Professor, Drexel University: Build curriculum to introduce frameworks such as Amazon S3, InfoSphere BigInsights, Hadoop, and MapReduce into the Computer Architecture and Artificial Intelligence tracks of the Computer Science curriculum, with an emphasis on parallelism, scalability, big data and machine learning.

-- W. "R.P." Raghupathi, Professor, Fordham University: Develop new 'big data analytics' an 'applied practicum course' elective enabling students to understand strategic issues surrounding big data analytics such as governance, ethics, privacy and security, and data quality.

-- Alexander Rasin, Assistant Professor, DePaul University: To provide graduating professionals with practical data mining skills Dr. Rasin will develop a graduate data mining course based on Apache Hadoop and Mahout that leverages IBM BigInsights and IBM SmartCloud.

-- Dr. Praveen Rao, Assistant Professor, University of Missouri-Kansas City: Develop a new big data course that will cover the storage, retrieval, analysis, and visualization of large volumes of structured and unstructured data using IBM software and IBM SmartCloud.

-- Dr. Jan Sedivy, Czech Technical University (Ceske vysoke uceni technicke v Praze - Prague): Extend current Mobile Development course to Big Data and Cloud, including lectures by IBM experts motivating students to study Map-Reduce programming to prepare them for the career of Big Data Developers and to build start-up businesses in this area.

-- Janet Smart, GOTO Academic Project Manager, Said Business School Oxford University (UK): Create an innovative learning environment that will equip students with the skills and insight to understand the issues around the growth and use of Big Data.

The IBM Faculty Awards support basic research, curriculum innovation, and educational assistance in focus areas that are fundamental to innovation in the 21st Century and strategic to IBM's core business. The focus areas of particular interest include: smarter planet and cities; healthcare and personalized education; mobile first and social technologies; big data and business analytics; cyber security and cloud computing; and multi-core and hybrid systems

In most cases, completed course materials will be provided to the IBM academic initiative for use by other member schools.

About IBM Big Data and Analytics

Each day they create 2.5 quintillion bytes of data generated by a variety of sources -- from climate information, to posts on social media sites, and from purchase transaction records to healthcare medical images. At IBM they believe that Big Data and analytics are a catalyst to help clients become more competitive and drive growth. IBM is helping clients harness this Big Data to uncover valuable insights, and transform their business. IBM has established the world's deepest and broadest portfolio of Big Data technologies and solutions, spanning services, software, research and hardware. For more information about IBM and Big Data and analytics, visit www.ibmbigdatahub.com. Follow IBM and Big Data on Twitter @IBMbigdata and this conversation at #THINKskills.

Contact: John NataleIBM +1-617-875-3658 jdnatale@us.ibm.com

SOURCE IBM

Copyright (C) 2013 PR Newswire. All rights reserved


What Does IBM’s Embrace Of Apache Spark Mean To IBM i? | killexams.com real questions and Pass4sure dumps

IBM is actively embracing a new software framework called Apache Spark as the core engine powering predictive analytics application going forward. The big data world has gone absolutely gaga over Spark, and Big Blue has even put Spark on the venerable z/OS mainframe. But where does that leave its little brother, the IBM i platform?

Apache Spark, if you’re not familiar, is hands down the hottest technology at the moment in the world of big data analytics. The open source project is so popular because it implements a relatively easy to use framework for running in-memory analytic workloads across a distributed cluster. Benchmarks have shown Spark (which sports APIs for Java, Scala, Python, and R) is 10 to 100 times faster than MapReduce, which up to this point has been the predominant programming framework for Apache Hadoop.

While Spark doesn’t require Hadoop, most companies are using Spark within a Hadoop cluster, which provides the persistent storage mechanism needed for saving the raw data inputs for Spark, as well as the outputs for Spark. (Spark is an in-memory system, after all). When you buy a Hadoop distribution from vendors like Cloudera, or Hortonworks, or MapR Technologies, you get the Apache Spark binaries, as well as Spark technical support, as part of the package.

While IBM isn’t a Hadoop pure-play like the other vendors mentioned above, it does sell and support its own Hadoop distribution, called InfoSphere BigInsights. IBM’s Hadoop distro runs on Linux running on Power and X86. (IBM also supports a distribution of Hadoop for the z/OS mainframe called zDoop, which is based on software from Veristorm, but that’s another story.)

Earlier this year IBM made a major commitment to support Spark in various parts of its business, including its BigInsights Hadoop distribution and running as a standalone service on the BlueMix platform cloud. And in a blog post last month, Joel Horwitz, IBM’s director of portfolio marketing for big data and analytics, announced that Spark was coming to Power.

“Today, IBM announced that with IBM Open Platform with Apache Hadoop it is bringing Spark along with the Open Development Platform to IBM’s industry-leading systems portfolio, including IBM Power Systems, the only server platform designed from the ground up to handle the demands of big data,” Horwitz wrote.

Since disposing of its X64 server business, IBM has been much more inclined to do direct comparisons between Power and Intel X64 servers, so it’s not surprising to see Big Blue opening the marketing floodgates with the opportunity presented by Spark.

“Power8 is the industry leader in system bandwidth, multithreading, and caching with capabilities that are four times what x86 platforms typically offer, capabilities that will dramatically improve the ability of Apache Spark to process data and iterate quickly,” Horwitz writes. “With Spark on Power Systems, they have the ability to shrink the latency between data and the point of interaction while reducing infrastructure costs and complexity.”

Our own @TDaytonPM did an analysis of the Power-versus-Xeon throwdown on Spark over at The Platform, which you can see here.

One of the great things about Spark is that it includes a suite of subprojects for various big data workloads, including machine learning, graph analytics, real-time streaming, and traditional SQL queries. According to Horwitz, compared to X64, Spark on Power delivers twice the performance for ML, graph, and streaming workloads, and three times the performance of SQL workloads. The addition of hardware accelerators, such as GPUs or other devices attached through the Coherent Accelerator Processor Interface (CAPI) links on Power8 chips make Spark run even faster.

It is clear that Spark on Power will benefit IBM customers whose business models demand the capability to quickly process huge volumes of unstructured or semi-structured data quickly. It’s not a stretch to see how companies in the oil and gas business or hedge funds, for example, can put big data processing to use to boost the bottom line.

It’s less clear how companies with more traditional business models–which typify IBM i shops–will benefit from this vast big-data processing power. Spark is really good at enabling users to combine and manipulate vast amounts of data and do so quickly and relatively painlessly (at least compared to the contorted processing pretzels that MapReduce would often force you into). That goes far beyond the basic reporting requirement of the typical IBM i shop, and it even goes beyond the more advanced data warehousing workloads that are still fairly rare on the platform.

But there are possibilities on the horizon, particularly among IBM i shops that have consumer-facing businesses, including those in retail, banking and insurance, and healthcare. (The big data game is mostly about B2C, although there are some B2B use cases beginning to emerge.) It all comes down to finding creative ways to manipulate new data streams with existing data, with the goal of improving some aspect of the business.

In retail, a company could combine clickstreams from an e-commerce website with the customer order history to figure out what a customer is likely to buy. In banking, a company could use Spark’s fast machine learning capabilities to spot anomalous transactions that could indicate fraudulent card activity. In healthcare, a hospital could use Spark to analyze the effectiveness of various treatments compared to the costs they incur. You could do all this without Spark, but the promise is that Spark makes it easier.

It’s doubtful that Spark itself will ever run directly on IBM i (although it’s open source, so you never really know). However, having Spark running in a Linux partition on the Power Systems box could give IBM i shops a reason to experiment with Spark–if not for the proximity of the production data, then the existence of Power Systems technical skills that eliminate the need to add yet one more hungry X64 server to the nest.

And while IBM i shops aren’t going to download Spark directly to a production Power Systems server, having Spark available on the box–or a separate box on the same LAN–could ultimately prove too tempting not to use. Spark is really the first in-memory data processing framework to catch fire among developers. That, combined with the dropping price of RAM and, could ignite some interesting new approaches to all sorts of computing problems.

Rob Thomas, vice president of product development at IBM Analytics, has been doing a lot of work in the IBM Rochester lab recently. While none of it apparently impacts the IBM i side of the house, Thomas is taking a broad view of the impact of Spark, and that very definitely could have an effect on the 125,000 or so companies around the world that still rely on IBM i to run their businesses.

“We believe Spark is going to be as revolutionary to data as Linux was to operating systems and IT,” Thomas told IT Jungle recently. “That’s why they talk about Spark as the being the analytic operating system for the enterprise. With Spark you get a unified programming model via Scala. Suddenly a client can access all the data that they have in the organization from a common framework. That’s very powerful.”

RELATED STORIES

Hadoop and IBM i: Not As Far Apart As One Might Think

IBM Power Systems Can Do Big Data Analytics, Too

What Does ‘Big Data’ Mean for IBM i?

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