Big Data: What it is and why it matters
An excellent introduction to Big Data: What is big data? Why is it important? Can a CIO stay in their job without knowing what big data is? Good place to start your journey into big data.
An excellent introduction to Big Data: What is big data? Why is it important? Can a CIO stay in their job without knowing what big data is? Good place to start your journey into big data.
This presentation defines big data and discusses the key considerations in planning, and implementing a big data supporting database management system (DBMS)
This paper defines big data, describes the critical role of enterprise architecture planning in successfully meeting business objectives in implementing big data and presents an action plan to harness the power of big data now and in the future.
This white paper explores the emerging role of intermediaries in turbo charging the potential of big data. What are the wider implications of big data? what is the benefit implementing big data? what are the issues implementing big data? how can informediaries enhance the potential of big data?
This presentation discusses the architecture and technology challenges in implementing and using big data.
This report defines big data and describes its characteristics, discusses the need for big data governance, and makes recommendations for big data usage for public sector organizations.
This volume contains a series of articles on big data. 1) How to tap into the power of big data? 2) Tools and Technologies for Big Data 3) CIO Playbook for Big Data
Primer on big data introduces the topic, discusses the drivers for big data, the value delivered through big data, tools and technologies used to implement big data, and challenges and risks in implementing big data.
This research report digs into big data to provide the reader with a solid background on the topic of big data analytics, including business and technology <span style="line-height: 1.6em;">drivers, successful business use cases, and common technology enablers. The report also uses survey data to project the future of the most common tool types, features, and functions associated with big data analytics, so users can apply this information to planning their own programs and technology stacks for big data analytics.</span>