Big Data
Principles and Best Practices of Scalable Real-Time Data Systems
(Paperback)

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This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm and NoSQL databases. About the Author Nathan Marz is the creator of Apache Storm and the originator of the Lambda Architecture for big data systems. James Warren is an analytics architect with a background in machine learning and scientific computing.

This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm and NoSQL databases.

AuthorNathan Marz
BindingPaperback
EAN9789351198062
ISBN9351198065
Weight143 g
LanguageEnglish
Language TypePublished
Number Of Pages328
Package Quantity1
Product GroupBook
Publication Date2015
PublisherDreamtech Press
StudioDreamtech Press
Sales Rank28874

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General information about Big Data: Principles and Best Practices of Scalable Real-Time Data Systems
  • The author associated with Big Data: Principles and Best Practices of Scalable Real-Time Data Systems is Nathan Marz.
  • The EAN for Big Data: Principles and Best Practices of Scalable Real-Time Data Systems is 9789351198062.
  • The ISBN for Big Data: Principles and Best Practices of Scalable Real-Time Data Systems is 9351198065.
  • The weight for Big Data: Principles and Best Practices of Scalable Real-Time Data Systems is 143 g.
  • The language for Big Data: Principles and Best Practices of Scalable Real-Time Data Systems is English.
  • The binding of Big Data: Principles and Best Practices of Scalable Real-Time Data Systems is Paperback.
  • The number of pages for Big Data: Principles and Best Practices of Scalable Real-Time Data Systems are 328.
  • The quantity for Big Data: Principles and Best Practices of Scalable Real-Time Data Systems in a package is 1.
  • Big Data: Principles and Best Practices of Scalable Real-Time Data Systems is grouped in Book group of products.
  • The publication date for Big Data: Principles and Best Practices of Scalable Real-Time Data Systems is 2015.
  • The publisher for Big Data: Principles and Best Practices of Scalable Real-Time Data Systems is Dreamtech Press.
  • The producer for Big Data: Principles and Best Practices of Scalable Real-Time Data Systems is Dreamtech Press.
  • The sales rank for Big Data: Principles and Best Practices of Scalable Real-Time Data Systems is 28874.
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