Frequently the terms NoSQL and Big Data are conflated – many view them as synonyms. It’s understandable – both technologies eschew the relational data model and spread data across clusters of servers, versus relational database technology which favors centralized computing. But the “problems” these technologies address are quite different. Hadoop, the Big Data poster child, is focused on data analysis – gleaning insights from large volumes of data. NoSQL databases are transactional systems – delivering high-performance, cost-effective data management for modern real-time web and mobile applications; this is the Big User problem. Of course, if you have a lot of users, you are probably going to generate a lot of data. IDC estimates that more than 1.8 trillion gigabytes of information was created in 2011 and that this number will double every two years. The proliferation of user-generated data from interactive web and mobile applications are key contributors to this growth.
These slides will address:
- Why NoSQL and Big Data are similar, but different
- The categories of NoSQL systems, and the types of applications for which they are best suited
- How Cloudera’s Distribution Including Apache Hadoop and Couchbase can be used together to build better applications
- Explore real-world use cases where NoSQL and Hadoop technologies work in concert
To view Couchbase webinars on-demand visit http://www.couchbase.com/webinars