As world activities become more integrated, the rate of data growth has been increasing exponentially. This data explosion helps cause current data management methods to become inadequate. People are using the term big data (sometimes referred to as Big Data) to describe this latest industry trend. IBM® is preparing the next generation of technology to meet these data management challenges.
To provide the capability of incorporating big data sources and analytics of these sources, IBM developed a stream-computing product that is based on the open source computing framework, which is known as Apache Hadoop. Each product in the framework provides unique capabilities to the data management environment and further enhances the value of your data warehouse investment.
This IBM Redbooks® publication describes the need for big data in an organization. We explain how IBM InfoSphere® BigInsights™ differentiates itself from the standard Hadoop. We then describe the list of implementation considerations, from networking and hardware, to validating a successful installation and making it secure.
The book is designed for clients, consultants, and other technical professionals
Table of contents
Chapter 1. A whole new world of big data
Chapter 2. Why choose BigInsights
Chapter 3. BigInsights network architecture
Chapter 4. BigInsights hardware architecture
Chapter 5. Operating system prerequisites for BigInsights
Chapter 6. BigInsights installation
Chapter 7. Cluster validation
Chapter 8. BigInsights capabilities
Chapter 9. BigInsights hardware monitoring and alerting
Chapter 10. BigInsights security design
Chapter 11. IBM Platform Symphony
Appendix A. M4 reference architecture
Appendix B. Installation values
Appendix C. Checklist
These pages are Web versions of IBM Redbooks- and Redpapers-in-progress. They are published here for those who need the information now and may contain spelling, layout and grammatical errors.
This material has not been submitted to any formal IBM test and is published AS IS. It has not been the subject of rigorous review. Your feedback is welcomed to improve the usefulness of the material to others.
IBM assumes no responsibility for its accuracy or completeness. The use of this information or the implementation of any of these techniques is a customer responsibility and depends upon the customer's ability to evaluate and integrate them into the customer's operational environment.