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Harness the Power of Big ­Data the IBM Big Data ­Platform
Database & ERP - OMG

Rating
Format
Paperback, 280 pages
Published
United States, 1 November 2012


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.


PART 1: The Big Deal About Big Data

Chapter 1: What is Big Data?

Chapter 2: Applying Big Data To Solve Problems: A Sampling Of Use Cases

Chapter 3: Boost Your Big Data IQ: The IBM Big Data Platform



PART II: Analytics for Big Data at Rest

Chapter 4: A Big Data Platform for High Performance Operational and Deep Analytics: IBM PureData Systems

Chapter 5: IBM's Enterprise Hadoop: InfoSphere BigInsights



PART III: Analytics for Big Data in Motion

Chapter 6: Real Time Analytical Processing with InfoSphere Streams



PART IV: Unlocking Big Data

Chapter 7: Data Exploration - Powered by Vivisimo Technology



PART V: Big Data Analytic Accelerators

Chapter 8: Differentiate Yourself with Text Analytics

Chapter 9: The IBM Big Data Accelerators



PART VI: Integration and Governance in a Big Data World

Chapter 10: To Govern or Not to Govern: Governance in a Big Data World

Chapter 11: Integrating Big Data in the Enterprise

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Product Description


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.


PART 1: The Big Deal About Big Data

Chapter 1: What is Big Data?

Chapter 2: Applying Big Data To Solve Problems: A Sampling Of Use Cases

Chapter 3: Boost Your Big Data IQ: The IBM Big Data Platform



PART II: Analytics for Big Data at Rest

Chapter 4: A Big Data Platform for High Performance Operational and Deep Analytics: IBM PureData Systems

Chapter 5: IBM's Enterprise Hadoop: InfoSphere BigInsights



PART III: Analytics for Big Data in Motion

Chapter 6: Real Time Analytical Processing with InfoSphere Streams



PART IV: Unlocking Big Data

Chapter 7: Data Exploration - Powered by Vivisimo Technology



PART V: Big Data Analytic Accelerators

Chapter 8: Differentiate Yourself with Text Analytics

Chapter 9: The IBM Big Data Accelerators



PART VI: Integration and Governance in a Big Data World

Chapter 10: To Govern or Not to Govern: Governance in a Big Data World

Chapter 11: Integrating Big Data in the Enterprise

Show more
Product Details
EAN
9780071808170
ISBN
0071808175
Other Information
24 Illustrations, unspecified
Dimensions
22.6 x 15 x 1.5 centimeters (0.38 kg)

Table of Contents

PART 1: The Big Deal About Big Data
Chapter 1: What is Big Data?
Chapter 2: Applying Big Data To Solve Problems: A Sampling Of Use Cases
Chapter 3: Boost Your Big Data IQ: The IBM Big Data Platform

PART II: Analytics for Big Data at Rest
Chapter 4: A Big Data Platform for High Performance Operational and Deep Analytics: IBM PureData Systems
Chapter 5: IBM’s Enterprise Hadoop: InfoSphere BigInsights

PART III: Analytics for Big Data in Motion
Chapter 6: Real Time Analytical Processing with InfoSphere Streams

PART IV: Unlocking Big Data
Chapter 7: Data Exploration – Powered by Vivisimo Technology

PART V: Big Data Analytic Accelerators
Chapter 8: Differentiate Yourself with Text Analytics
Chapter 9: The IBM Big Data Accelerators

PART VI: Integration and Governance in a Big Data World
Chapter 10: To Govern or Not to Govern: Governance in a Big Data World
Chapter 11: Integrating Big Data in the Enterprise

About the Author

McGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwide

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