Ibm Software Defined Infrastructure For Big Data Analytics Workloads

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IBM Software Defined Infrastructure for Big Data Analytics Workloads

Dino Quintero,Daniel de Souza Casali,Marcelo Correia Lima,Istvan Gabor Szabo,Maciej Olejniczak,Tiago Rodrigues de Mello,Nilton Carlos dos Santos,IBM Redbooks
IBM Software Defined Infrastructure for Big Data Analytics Workloads Book PDF

Author : Dino Quintero,Daniel de Souza Casali,Marcelo Correia Lima,Istvan Gabor Szabo,Maciej Olejniczak,Tiago Rodrigues de Mello,Nilton Carlos dos Santos,IBM Redbooks
Publisher : IBM Redbooks
Page : 180 pages
File Size : 40,8 Mb
Release : 2015-06-29
Category : Computers
ISBN : 9780738440774

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IBM Software Defined Infrastructure for Big Data Analytics Workloads by Dino Quintero,Daniel de Souza Casali,Marcelo Correia Lima,Istvan Gabor Szabo,Maciej Olejniczak,Tiago Rodrigues de Mello,Nilton Carlos dos Santos,IBM Redbooks Pdf

This IBM® Redbooks® publication documents how IBM Platform Computing, with its IBM Platform Symphony® MapReduce framework, IBM Spectrum Scale (based Upon IBM GPFSTM), IBM Platform LSF®, the Advanced Service Controller for Platform Symphony are work together as an infrastructure to manage not just Hadoop-related offerings, but many popular industry offeringsm such as Apach Spark, Storm, MongoDB, Cassandra, and so on. It describes the different ways to run Hadoop in a big data environment, and demonstrates how IBM Platform Computing solutions, such as Platform Symphony and Platform LSF with its MapReduce Accelerator, can help performance and agility to run Hadoop on distributed workload managers offered by IBM. This information is for technical professionals (consultants, technical support staff, IT architects, and IT specialists) who are responsible for delivering cost-effective cloud services and big data solutions on IBM Power SystemsTM to help uncover insights among client's data so they can optimize product development and business results.

IBM Software Defined Infrastructure for Big Data Analytics Workloads

Dino Quintero
IBM Software Defined Infrastructure for Big Data Analytics Workloads Book PDF

Author : Dino Quintero
Publisher : Unknown
Page : 128 pages
File Size : 40,9 Mb
Release : 2015
Category : Apache Hadoop
ISBN : OCLC:922914370

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IBM Software Defined Infrastructure for Big Data Analytics Workloads by Dino Quintero Pdf

This book documents how IBM Platform Computing, with its IBM Platform Symphony MapReduce framework, IBM Spectrum Scale (based upon IBM GPFS), IBM Platform LSF, the Advanced Service Controller for Platform Symphony work together as an infrastructure to manage not just Hadoop-related offerings, but many popular industry offerings such as Apach Spark, Storm, MongoDB, Cassandra, and so on. It describes the different ways to run Hadoop in a big data environment, and demonstrates how IBM Platform Computing solutions, such as Platform Symphony and Platform LSF with its MapReduce Accelerator, can help performance and agility to run Hadoop on distributed workload managers offered by IBM. --

IBM Software Defined Environment

Dino Quintero,William M Genovese,KiWaon Kim,Ming Jun MJ Li,Fabio Martins,Ashish Nainwal,Dusan Smolej,Marcin Tabinowski,Ashu Tiwary,IBM Redbooks
IBM Software Defined Environment Book PDF

Author : Dino Quintero,William M Genovese,KiWaon Kim,Ming Jun MJ Li,Fabio Martins,Ashish Nainwal,Dusan Smolej,Marcin Tabinowski,Ashu Tiwary,IBM Redbooks
Publisher : IBM Redbooks
Page : 820 pages
File Size : 55,9 Mb
Release : 2015-08-14
Category : Computers
ISBN : 9780738440446

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IBM Software Defined Environment by Dino Quintero,William M Genovese,KiWaon Kim,Ming Jun MJ Li,Fabio Martins,Ashish Nainwal,Dusan Smolej,Marcin Tabinowski,Ashu Tiwary,IBM Redbooks Pdf

This IBM® Redbooks® publication introduces the IBM Software Defined Environment (SDE) solution, which helps to optimize the entire computing infrastructure--compute, storage, and network resources--so that it can adapt to the type of work required. In today's environment, resources are assigned manually to workloads, but that happens automatically in a SDE. In an SDE, workloads are dynamically assigned to IT resources based on application characteristics, best-available resources, and service level policies so that they deliver continuous, dynamic optimization and reconfiguration to address infrastructure issues. Underlying all of this are policy-based compliance checks and updates in a centrally managed environment. Readers get a broad introduction to the new architecture. Think integration, automation, and optimization. Those are enablers of cloud delivery and analytics. SDE can accelerate business success by matching workloads and resources so that you have a responsive, adaptive environment. With the IBM Software Defined Environment, infrastructure is fully programmable to rapidly deploy workloads on optimal resources and to instantly respond to changing business demands. This information is intended for IBM sales representatives, IBM software architects, IBM Systems Technology Group brand specialists, distributors, resellers, and anyone who is developing or implementing SDE.

Getting Started with Docker Enterprise Edition on IBM Z

Lydia Parziale,Eduardo Simoes Franco,Robert Green,Eric Everson Mendes Marins,Mariana Roveri,Nilton Carlos Dos Santos,IBM Redbooks
Getting Started with Docker Enterprise Edition on IBM Z Book PDF

Author : Lydia Parziale,Eduardo Simoes Franco,Robert Green,Eric Everson Mendes Marins,Mariana Roveri,Nilton Carlos Dos Santos,IBM Redbooks
Publisher : IBM Redbooks
Page : 200 pages
File Size : 51,5 Mb
Release : 2019-03-08
Category : Computers
ISBN : 9780738457505

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Getting Started with Docker Enterprise Edition on IBM Z by Lydia Parziale,Eduardo Simoes Franco,Robert Green,Eric Everson Mendes Marins,Mariana Roveri,Nilton Carlos Dos Santos,IBM Redbooks Pdf

What is the difference between a virtual machine and a Docker container? A virtual machine (VM) is like a house. It is fully contained with its own plumbing and heating and cooling system. If you want another house, you build a new foundation, with new walls, new plumbing, and its own heating and cooling system. VMs are large. They start their own operating systems. Containers are like apartments in an apartment building. They share infrastructure. They can be many different sizes. You can have different sizes depending on the needs. Containers "live" in a Docker host. If you build a house, you need many resources. If you build an apartment building, each unit shares resources. Like an apartment, Docker is smaller and satisfies specific needs, is more agile, and more easily changed. This IBM® Redbooks® publication examines the installation and operation of Docker Enterprise Edition on the IBM Z® platform.

IBM Spectrum Scale: Big Data and Analytics Solution Brief

Wei G. Gong,Sandeep R. Patil,IBM Redbooks
IBM Spectrum Scale Big Data and Analytics Solution Brief Book PDF

Author : Wei G. Gong,Sandeep R. Patil,IBM Redbooks
Publisher : IBM Redbooks
Page : 14 pages
File Size : 43,9 Mb
Release : 2018-01-23
Category : Computers
ISBN : 9780738456638

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IBM Spectrum Scale: Big Data and Analytics Solution Brief by Wei G. Gong,Sandeep R. Patil,IBM Redbooks Pdf

This IBM® RedguideTM publication describes big data and analytics deployments that are built on IBM Spectrum ScaleTM. IBM Spectrum Scale is a proven enterprise-level distributed file system that is a high-performance and cost-effective alternative to Hadoop Distributed File System (HDFS) for Hadoop analytics services. IBM Spectrum Scale includes NFS, SMB, and Object services and meets the performance that is required by many industry workloads, such as technical computing, big data, analytics, and content management. IBM Spectrum Scale provides world-class, web-based storage management with extreme scalability, flash accelerated performance, and automatic policy-based storage tiering from flash through disk to the cloud, which reduces storage costs up to 90% while improving security and management efficiency in cloud, big data, and analytics environments. This Redguide publication is intended for technical professionals (analytics consultants, technical support staff, IT Architects, and IT Specialists) who are responsible for providing Hadoop analytics services and are interested in learning about the benefits of the use of IBM Spectrum Scale as an alternative to HDFS.

Handbook of Technology Application in Tourism in Asia

Azizul Hassan
Handbook of Technology Application in Tourism in Asia Book PDF

Author : Azizul Hassan
Publisher : Springer Nature
Page : 1367 pages
File Size : 54,7 Mb
Release : 2022-07-09
Category : Business & Economics
ISBN : 9789811622106

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Handbook of Technology Application in Tourism in Asia by Azizul Hassan Pdf

It is an undisputed reality that the tourism industry in Asia is getting exposed to more innovative technologies than ever before. This proposed book provides the latest research in the application of innovative technology to the tourism industry, covering the perspectives, innovativeness, theories, issues, complexities, opportunities and challenges. This book, a blend of comprehensive and extensive effort by the contributors and editors, is designed to cover the application and practice of technology in tourism, including the relevant niches. This book focuses on the importance of technology in tourism. This also highlights, in a comprehensive manner, specific technologies that are impacting the tourism industry in Asia, as well as the constraints the industry is facing. The contents of this book deal with distinct topics, such as mobile computing, new product designs, innovative technology usages in tourism promotion, technology-driven sustainable tourism development, location-based apps, mobility, accessibility and so on. A good number of research studies have conducted outlining the contributions and importance of technologies in tourism, in general. However, the tourism industry of Asia so far has attracted very few researchers. Some contributions have been made but not sufficient. Considering the ongoing trend of technology application in the tourism industry in Asia, very few research attempts have been made aiming to explore diverse aspects. Tourism is expanding enormously across the world. which actually creates more demands for effective technologies. This book will be a reading companion, especially for tourism students in higher academic institutions. This book will also be read by the relevant policy planners and industry professionals. Apart from them, this book will be appreciated by expatriate researchers and researchers having keen interest in the Asian tourism industry.

IBM Software-Defined Storage Guide

Larry Coyne,Joe Dain,Eric Forestier,Patrizia Guaitani,Robert Haas,Christopher D. Maestas,Antoine Maille,Tony Pearson,Brian Sherman,Christopher Vollmar,IBM Redbooks
IBM Software Defined Storage Guide Book PDF

Author : Larry Coyne,Joe Dain,Eric Forestier,Patrizia Guaitani,Robert Haas,Christopher D. Maestas,Antoine Maille,Tony Pearson,Brian Sherman,Christopher Vollmar,IBM Redbooks
Publisher : IBM Redbooks
Page : 158 pages
File Size : 54,6 Mb
Release : 2018-07-21
Category : Computers
ISBN : 9780738457055

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IBM Software-Defined Storage Guide by Larry Coyne,Joe Dain,Eric Forestier,Patrizia Guaitani,Robert Haas,Christopher D. Maestas,Antoine Maille,Tony Pearson,Brian Sherman,Christopher Vollmar,IBM Redbooks Pdf

Today, new business models in the marketplace coexist with traditional ones and their well-established IT architectures. They generate new business needs and new IT requirements that can only be satisfied by new service models and new technological approaches. These changes are reshaping traditional IT concepts. Cloud in its three main variants (Public, Hybrid, and Private) represents the major and most viable answer to those IT requirements, and software-defined infrastructure (SDI) is its major technological enabler. IBM® technology, with its rich and complete set of storage hardware and software products, supports SDI both in an open standard framework and in other vendors' environments. IBM services are able to deliver solutions to the customers with their extensive knowledge of the topic and the experiences gained in partnership with clients. This IBM RedpaperTM publication focuses on software-defined storage (SDS) and IBM Storage Systems product offerings for software-defined environments (SDEs). It also provides use case examples across various industries that cover different client needs, proposed solutions, and results. This paper can help you to understand current organizational capabilities and challenges, and to identify specific business objectives to be achieved by implementing an SDS solution in your enterprise.

Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data

Paul Zikopoulos,Chris Eaton
Understanding Big Data Analytics for Enterprise Class Hadoop and Streaming Data Book PDF

Author : Paul Zikopoulos,Chris Eaton
Publisher : McGraw Hill Professional
Page : 176 pages
File Size : 51,6 Mb
Release : 2011-10-22
Category : Computers
ISBN : 9780071790543

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Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data by Paul Zikopoulos,Chris Eaton Pdf

Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform. The three defining characteristics of Big Data--volume, variety, and velocity--are discussed. You'll get a primer on Hadoop and how IBM is hardening it for the enterprise, and learn when to leverage IBM InfoSphere BigInsights (Big Data at rest) and IBM InfoSphere Streams (Big Data in motion) technologies. Industry use cases are also included in this practical guide. Learn how IBM hardens Hadoop for enterprise-class scalability and reliability Gain insight into IBM's unique in-motion and at-rest Big Data analytics platform Learn tips and tricks for Big Data use cases and solutions Get a quick Hadoop primer

Building Big Data and Analytics Solutions in the Cloud

Wei-Dong Zhu,Manav Gupta,Ven Kumar,Sujatha Perepa,Arvind Sathi,Craig Statchuk,IBM Redbooks
Building Big Data and Analytics Solutions in the Cloud Book PDF

Author : Wei-Dong Zhu,Manav Gupta,Ven Kumar,Sujatha Perepa,Arvind Sathi,Craig Statchuk,IBM Redbooks
Publisher : IBM Redbooks
Page : 101 pages
File Size : 43,5 Mb
Release : 2014-12-08
Category : Computers
ISBN : 9780738453996

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Building Big Data and Analytics Solutions in the Cloud by Wei-Dong Zhu,Manav Gupta,Ven Kumar,Sujatha Perepa,Arvind Sathi,Craig Statchuk,IBM Redbooks Pdf

Big data is currently one of the most critical emerging technologies. Organizations around the world are looking to exploit the explosive growth of data to unlock previously hidden insights in the hope of creating new revenue streams, gaining operational efficiencies, and obtaining greater understanding of customer needs. It is important to think of big data and analytics together. Big data is the term used to describe the recent explosion of different types of data from disparate sources. Analytics is about examining data to derive interesting and relevant trends and patterns, which can be used to inform decisions, optimize processes, and even drive new business models. With today's deluge of data comes the problems of processing that data, obtaining the correct skills to manage and analyze that data, and establishing rules to govern the data's use and distribution. The big data technology stack is ever growing and sometimes confusing, even more so when we add the complexities of setting up big data environments with large up-front investments. Cloud computing seems to be a perfect vehicle for hosting big data workloads. However, working on big data in the cloud brings its own challenge of reconciling two contradictory design principles. Cloud computing is based on the concepts of consolidation and resource pooling, but big data systems (such as Hadoop) are built on the shared nothing principle, where each node is independent and self-sufficient. A solution architecture that can allow these mutually exclusive principles to coexist is required to truly exploit the elasticity and ease-of-use of cloud computing for big data environments. This IBM® RedpaperTM publication is aimed at chief architects, line-of-business executives, and CIOs to provide an understanding of the cloud-related challenges they face and give prescriptive guidance for how to realize the benefits of big data solutions quickly and cost-effectively.

IBM Data Engine for Hadoop and Spark

Dino Quintero,Luis Bolinches,Aditya Gandakusuma Sutandyo,Nicolas Joly,Reinaldo Tetsuo Katahira,IBM Redbooks
IBM Data Engine for Hadoop and Spark Book PDF

Author : Dino Quintero,Luis Bolinches,Aditya Gandakusuma Sutandyo,Nicolas Joly,Reinaldo Tetsuo Katahira,IBM Redbooks
Publisher : IBM Redbooks
Page : 126 pages
File Size : 42,5 Mb
Release : 2016-08-24
Category : Computers
ISBN : 9780738441931

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IBM Data Engine for Hadoop and Spark by Dino Quintero,Luis Bolinches,Aditya Gandakusuma Sutandyo,Nicolas Joly,Reinaldo Tetsuo Katahira,IBM Redbooks Pdf

This IBM® Redbooks® publication provides topics to help the technical community take advantage of the resilience, scalability, and performance of the IBM Power SystemsTM platform to implement or integrate an IBM Data Engine for Hadoop and Spark solution for analytics solutions to access, manage, and analyze data sets to improve business outcomes. This book documents topics to demonstrate and take advantage of the analytics strengths of the IBM POWER8® platform, the IBM analytics software portfolio, and selected third-party tools to help solve customer's data analytic workload requirements. This book describes how to plan, prepare, install, integrate, manage, and show how to use the IBM Data Engine for Hadoop and Spark solution to run analytic workloads on IBM POWER8. In addition, this publication delivers documentation to complement available IBM analytics solutions to help your data analytic needs. This publication strengthens the position of IBM analytics and big data solutions with a well-defined and documented deployment model within an IBM POWER8 virtualized environment so that customers have a planned foundation for security, scaling, capacity, resilience, and optimization for analytics workloads. This book is targeted at technical professionals (analytics consultants, technical support staff, IT Architects, and IT Specialists) that are responsible for delivering analytics solutions and support on IBM Power Systems.

IBM Cloud Object Storage System Product Guide

Vasfi Gucer,Chris de Almeida,Joe Dorio,Israel Feygelman,Max Huber,Michael Knieriemen,Lars Lauber,Jussi Lehtinen,Jaswinder Singh Saini,IBM Redbooks
IBM Cloud Object Storage System Product Guide Book PDF

Author : Vasfi Gucer,Chris de Almeida,Joe Dorio,Israel Feygelman,Max Huber,Michael Knieriemen,Lars Lauber,Jussi Lehtinen,Jaswinder Singh Saini,IBM Redbooks
Publisher : IBM Redbooks
Page : 214 pages
File Size : 42,9 Mb
Release : 2023-06-14
Category : Computers
ISBN : 9780738460130

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IBM Cloud Object Storage System Product Guide by Vasfi Gucer,Chris de Almeida,Joe Dorio,Israel Feygelman,Max Huber,Michael Knieriemen,Lars Lauber,Jussi Lehtinen,Jaswinder Singh Saini,IBM Redbooks Pdf

Object storage is the primary storage solution that is used in the cloud and on-premises solutions as a central storage platform for unstructured data. IBM Cloud Object Storage is a software-defined storage (SDS) platform that breaks down barriers for storing massive amounts of data by optimizing the placement of data on commodity x86 servers across the enterprise. This IBM Redbooks® publication describes the major features, use case scenarios, deployment options, configuration details, initial customization, performance, and scalability considerations of IBM Cloud Object Storage on-premises offering. For more information about the IBM Cloud Object Storage architecture and technology that is behind the product, see IBM Cloud Object Storage Concepts and Architecture , REDP-5537. The target audience for this publication is IBM Cloud Object Storage IT specialists and storage administrators.

IBM Software Defined Environment

Dino Quintero
IBM Software Defined Environment Book PDF

Author : Dino Quintero
Publisher : Unknown
Page : 128 pages
File Size : 53,6 Mb
Release : 2015
Category : Big data
ISBN : OCLC:966374349

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IBM Software Defined Environment by Dino Quintero Pdf

This resource introduces the IBM Software Defined Environment (SDE) solution, which helps to optimize the entire computing infrastructure--compute, storage, and network resources--so that it can adapt to the type of work required. In an SDE, workloads are dynamically assigned to IT resources based on application characteristics, best-available resources, and service level policies so that they deliver continuous, dynamic optimization and reconfiguration to address infrastructure issues. Underlying all of this are policy-based compliance checks and updates in a centrally managed environment. SDE can accelerate business success by matching workloads and resources so that you have a responsive, adaptive environment. --

IBM Private, Public, and Hybrid Cloud Storage Solutions

Larry Coyne,Joe Dain,Eric Forestier,Patrizia Guaitani,Robert Haas,Christopher D. Maestas,Antoine Maille,Tony Pearson,Brian Sherman,Christopher Vollmar,IBM Redbooks
IBM Private Public and Hybrid Cloud Storage Solutions Book PDF

Author : Larry Coyne,Joe Dain,Eric Forestier,Patrizia Guaitani,Robert Haas,Christopher D. Maestas,Antoine Maille,Tony Pearson,Brian Sherman,Christopher Vollmar,IBM Redbooks
Publisher : IBM Redbooks
Page : 186 pages
File Size : 52,5 Mb
Release : 2018-11-27
Category : Computers
ISBN : 9780738456843

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IBM Private, Public, and Hybrid Cloud Storage Solutions by Larry Coyne,Joe Dain,Eric Forestier,Patrizia Guaitani,Robert Haas,Christopher D. Maestas,Antoine Maille,Tony Pearson,Brian Sherman,Christopher Vollmar,IBM Redbooks Pdf

This IBM® RedpaperTM publication takes you on a journey that surveys cloud computing to answer several fundamental questions about storage cloud technology. What are storage clouds? How can a storage cloud help solve your current and future data storage business requirements? What can IBM do to help you implement a storage cloud solution that addresses these needs? This paper shows how IBM storage clouds use the extensive cloud computing experience, services, proven technologies, and products of IBM to support a smart storage cloud solution designed for your storage optimization efforts. Clients face many common storage challenges and some have variations that make them unique. It describes various successful client storage cloud implementations and the options that are available to meet your current needs and position you to avoid storage issues in the future. IBM CloudTM Services (IBM Cloud Managed Services® and IBM SoftLayer®) are highlighted as well as the contributions of IBM to OpenStack cloud storage. This paper is intended for anyone who wants to learn about storage clouds and how IBM addresses data storage challenges with smart storage cloud solutions. It is suitable for IBM clients, storage solution integrators, and IBM specialist sales representatives.

IBM Reference Architecture for High Performance Data and AI in Healthcare and Life Sciences

Dino Quintero,Frank N. Lee,IBM Redbooks
IBM Reference Architecture for High Performance Data and AI in Healthcare and Life Sciences Book PDF

Author : Dino Quintero,Frank N. Lee,IBM Redbooks
Publisher : IBM Redbooks
Page : 88 pages
File Size : 40,6 Mb
Release : 2019-09-08
Category : Computers
ISBN : 9780738456904

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IBM Reference Architecture for High Performance Data and AI in Healthcare and Life Sciences by Dino Quintero,Frank N. Lee,IBM Redbooks Pdf

This IBM® Redpaper publication provides an update to the original description of IBM Reference Architecture for Genomics. This paper expands the reference architecture to cover all of the major vertical areas of healthcare and life sciences industries, such as genomics, imaging, and clinical and translational research. The architecture was renamed IBM Reference Architecture for High Performance Data and AI in Healthcare and Life Sciences to reflect the fact that it incorporates key building blocks for high-performance computing (HPC) and software-defined storage, and that it supports an expanding infrastructure of leading industry partners, platforms, and frameworks. The reference architecture defines a highly flexible, scalable, and cost-effective platform for accessing, managing, storing, sharing, integrating, and analyzing big data, which can be deployed on-premises, in the cloud, or as a hybrid of the two. IT organizations can use the reference architecture as a high-level guide for overcoming data management challenges and processing bottlenecks that are frequently encountered in personalized healthcare initiatives, and in compute-intensive and data-intensive biomedical workloads. This reference architecture also provides a framework and context for modern healthcare and life sciences institutions to adopt cutting-edge technologies, such as cognitive life sciences solutions, machine learning and deep learning, Spark for analytics, and cloud computing. To illustrate these points, this paper includes case studies describing how clients and IBM Business Partners alike used the reference architecture in the deployments of demanding infrastructures for precision medicine. This publication targets technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) who are responsible for providing life sciences solutions and support.

Harness the Power of Big Data The IBM Big Data Platform

Paul Zikopoulos,Dirk deRoos,Krishnan Parasuraman,Thomas Deutsch,James Giles,David Corrigan
Harness the Power of Big Data The IBM Big Data Platform Book PDF

Author : Paul Zikopoulos,Dirk deRoos,Krishnan Parasuraman,Thomas Deutsch,James Giles,David Corrigan
Publisher : McGraw Hill Professional
Page : 280 pages
File Size : 42,9 Mb
Release : 2012-11-08
Category : Computers
ISBN : 9780071808187

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Harness the Power of Big Data The IBM Big Data Platform by Paul Zikopoulos,Dirk deRoos,Krishnan Parasuraman,Thomas Deutsch,James Giles,David Corrigan Pdf

Boost your Big Data IQ! Gain insight into how to govern and consume IBM’s unique in-motion and at-rest Big Data analytic capabilities Big Data represents a new era of computing—an inflection point of opportunity where data in any format may be explored and utilized for breakthrough insights—whether that data is in-place, in-motion, or at-rest. IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is infusing open source Big Data technologies with IBM innovation that manifest in a platform capable of "changing the game." The four defining characteristics of Big Data—volume, variety, velocity, and veracity—are discussed. You’ll understand how IBM is fully committed to Hadoop and integrating it into the enterprise. Hear about how organizations are taking inventories of their existing Big Data assets, with search capabilities that help organizations discover what they could already know, and extend their reach into new data territories for unprecedented model accuracy and discovery. In this book you will also learn not just about the technologies that make up the IBM Big Data platform, but when to leverage its purpose-built engines for analytics on data in-motion and data at-rest. And you’ll gain an understanding of how and when to govern Big Data, and how IBM’s industry-leading InfoSphere integration and governance portfolio helps you understand, govern, and effectively utilize Big Data. Industry use cases are also included in this practical guide.