Bookbot

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

Ocena książki

Parametry

  • 177 stron
  • 7 godzin czytania

Więcej o książce

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

Zakup książki

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

Język
Rok wydania
2011
Oprawa
(miękka)
Jak tylko się pojawi, wyślemy Ci wiadomość e-mail.

Metody płatności

3,3
Dobra
20 Ocena

Brakuje nam tutaj Twojej recenzji.

Tytuł
Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data
Język
angielski
Rok wydania
2011
Oprawa
miękka
Liczba stron
177
ISBN10
0071790535
ISBN13
9780071790536
Seria
Ocena
3,25 z 5
Opis
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