Authors:
- Vendors and platforms agnostic there by bringing in deep understanding of key areas viz.,
- Big data platforms
- Implementation best practices, etc;
- Numerous industry use cases about big data and its implications to businesses.
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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
Big data is emerging from the realm of one-off projects to mainstream business adoption; however, the real value of big data is not in the overwhelming size of it, but more in its effective use.
This book addresses the following big data characteristics:
- Very large, distributed aggregations of loosely structured data – often incomplete and inaccessible
- Petabytes/Exabytes of data
- Millions/billions of people providing/contributing to the context behind the data
- Flat schema's with few complex interrelationships
- Involves time-stamped events
- Made up of incomplete data
- Includes connections between data elements that must be probabilistically inferred
Big Data Imperatives describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other. This book aims to bring the big data and analytics realms together with a greater focus on architectures that leverage the scale and power of big data and the ability to integrate and apply analytics principles to data which earlier was not accessible.
This book can also be used as a handbook for practitioners; helping them on methodology,technical architecture, analytics techniques and best practices. At the same time, this bookintends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data.
About the authors
Bibliographic Information
Book Title: Big Data Imperatives
Book Subtitle: Enterprise Big Data Warehouse, BI Implementations and Analytics
Authors: Soumendra Mohanty, Madhu Jagadeesh, Harsha Srivatsa
DOI: https://doi.org/10.1007/978-1-4302-4873-6
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Soumendra Mohanty and Madhu Jagadeesh and Harsha Srivatsa 2013
Softcover ISBN: 978-1-4302-4872-9Published: 27 June 2013
eBook ISBN: 978-1-4302-4873-6Published: 23 August 2013
Edition Number: 1
Number of Pages: XXII, 320
Number of Illustrations: 127 b/w illustrations
Topics: Big Data, Computer Appl. in Administrative Data Processing, Information Systems and Communication Service
Industry Sectors: IT & Software