Big Data Analytics

From Strategic Planning to Enterprise Integration with Tools, Techniques, NoSQL, and Graph
Erscheinungsjahr 2013
ISBN: 978-0-12-417319-4
Verlag: William Andrew Publishing

Buch, Englisch, 142 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 350 g

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.

Zielgruppe

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

Autoren/Hrsg.

Loshin, David

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik

Inhaltsverzeichnis

- 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

Über Autor(innen)

Loshin, David
David Loshin is President of Knowledge Integrity, Inc., a company specializing in data management consulting. The author of numerous books on performance computing and data management, including "Master Data Management" (2008) and "Business Intelligence - The Savvy Manager's Guide" (2003), and creator of courses and tutorials on all facets of data management best practices, David is often looked to for thought leadership in the information management industry.