Big Data Analytics From Strategic Planning to Enterprise Integration with Tools, Techniques, NoSQL, and Graph
Auteur : Loshin David
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.
- Business Drivers for Big Data Analytics
- Business Problems that are Suited to Big Data Solutions
- Organizational Alignment for Big Data
- Developing a Strategic Plan for Integrating Big Data into the Enterprise
- Data Governance: Policies and Processes for Big Data Oversight
- High Performance Analytics Appliances
- Big Data Tools and Techniques
- Developing Big Data Applications
- NoSQL
- Graph Analytics
- Summary
Line-of-business managers who want to solve their problems with big data analytics.
- 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
Date de parution : 08-2013
Ouvrage de 142 p.
15x22.8 cm
Thème de Big Data Analytics :
Mots-clés :
business; value; technology adoption; hadoop; NoSQL; graph; map reduce; market