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Big Data Analytics: From Strategic Planning to Enterprise Integration with Tools, Techniques, NoSQL, and Graph de David Loshin

Big Data Analytics: From Strategic Planning to Enterprise Integration with Tools, Techniques, NoSQL, and Graph

Autor David Loshin
en Limba Engleză Paperback – 29 aug 2013
Big Data Analytics will assist managers in providing an overview of the drivers for introducing big data technology into the organization and for understanding the types of business problems best suited to big data analytics solutions, understanding the value drivers and benefits, strategic planning, developing a pilot, and eventually planning to integrate back into production within the enterprise.


  • Guides the reader in assessing the opportunities and value proposition
  • Overview of big data hardware and software architectures
  • Presents a variety of technologies and how they fit into the big data ecosystem
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Specificații

ISBN-13: 9780124173194
ISBN-10: 0124173195
Pagini: 142
Ilustrații: black & white illustrations, black & white tables
Dimensiuni: 152 x 229 x 8 mm
Greutate: 0.2 kg
Editura: ELSEVIER SCIENCE

Public țintă

Line-of-business managers who want to solve their problems with big data analytics.

Cuprins

  1. Business Drivers for Big Data Analytics
  2. Business Problems that are Suited to Big Data Solutions
  3. Organizational Alignment for Big Data
  4. Developing a Strategic Plan for Integrating Big Data into the Enterprise
  5. Data Governance: Policies and Processes for Big Data Oversight
  6. High Performance Analytics Appliances
  7. Big Data Tools and Techniques
  8. Developing Big Data Applications
  9. NoSQL
  10. Graph Analytics
  11. Summary

Recenzii

"The teachings in this book go beyond technologies, skills and processes. Each chapter’s "thought exercises" challenge you to consider technology, business and management concepts in the context of your organization. These questions will help you evaluate next steps for making the technologies valuable to you." ---Michael Goldberg, editor in chief, Data Informed (www.data-informed.com)