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Big Data:Principles and Best Practices of Scalable Realtime Data Systems by James Warren and Nathan Marz (2015, Trade Paperback)

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Services like social networks, web analytics, and intelligent e-commerce often need to manage data at a scale too big for a traditional database. As scale and demand increase, so does Complexity. Fortunately, scalability and simplicity are not mutually exclusive-- rather than using some trendy technology, a different approach is needed. Big data systems use many machines working in parallel to store and process data, which introduces fundamental challenges unfamiliar to most developers. Big Data shows how to build these systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy to understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to use them in practice, and how to deploy and operate them once they're built. AUDIENCE This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful. ABOUT THE TECHNOLOGY To tackle the challenges of Big Data, a new breed of technologies has emerged. Many of which have been grouped under the term "NoSQL." In some ways these new technologies can be more complex than traditional databases and in other ways, simpler. Using them effectively requires a fundamentally new set of techniques

Product Identifiers

Publisher
Manning Publications Co. LLC
ISBN-10
1617290343
ISBN-13
9781617290343
eBay Product ID (ePID)
143811036

Product Key Features

Author
James Warren, Nathan Marz
Publication Name
Big Data:Principles and Best Practices of Scalable Realtime Data Systems
Format
Trade Paperback
Language
English
Publication Year
2015
Type
Textbook
Number of Pages
328 Pages

Dimensions

Item Length
9.2in
Item Height
0.6in
Item Width
7.4in
Item Weight
20.7 Oz

Additional Product Features

Lc Classification Number
Qa76.9.D3
Copyright Date
2015
Topic
Management Information Systems, Data Processing, Databases / Data Mining, Databases / General, Enterprise Applications / General
Lccn
2015-458165
Dewey Decimal
658.4/038
Intended Audience
Scholarly & Professional
Dewey Edition
23
Illustrated
Yes
Genre
Computers

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Big Data:Principles and Best Practices of Scalable Realtime Data Systems by James Warren and Nathan Marz (2015, Trade Paperback)

About this product

Product Information

Product Identifiers

Product Key Features

Dimensions

Additional Product Features

All listings for this product

item 1 Big Data: Principles and best practices of scalable realtime data systems - GOOD

item 2 Big Data: Principles and best practices of scalable realtime - ACCEPTABLE

item 3 Big Data: Principles and best practices of scalable realtime data systems

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Leadership : Theory and Practice by Peter G. Northouse (2021, Trade Paperback, Revised edition)

Research Design : Qualitative, Quantitative, and Mixed Methods Approaches by J. David Creswell and John W. Creswell (2022, Trade Paperback)

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