Integrating Enterprise NoSQL into Hadoop to Ensure Cost-Effective and Flexible Data Analytics


Hadoop has quickly gone from "project" to "viable solution" for leveraging the power of clusters of computers to solve problems. Organizations are taking advantage of the ability to segregate data among different storage and computation environments to optimize cost, performance, availability and flexibility. Some organizations have legal requirements that govern the amount of data they need to keep and what they need to report on. Others may want to keep this long tail of information for historical reporting and analytics. By combining Hadoop and an Enterprise NoSQL database, you can index the most critical and frequently accessed data on high-performance infrastructure and allocate the rest to a low-cost offline archive for intermittent access and historical analysis.

In this webcast you will learn how to:

  • Make the most of next-generation data storage for Enterprise agility
  • Simplify data flows between real-time processing and batch analytics
  • Improve overall performance, reliability and data governance in your Hadoop environment
  • Ensure your Big Data applications retain the Enterprise-class functionality you require, while leveraging the flexibility of NoSQL

Audio is streamed over the Internet, so turn up your computer speakers!

Tom Wilson
DBTA and Unisphere Research
Joseph McKendrick
Lead Analyst
Unisphere Research
Justin Makeig
Director, Hadoop Product Management