Back to the Future – MapReduce, Hadoop and The Data Scientist
Big data is big news and there is significant interest in evolving analytic approaches for big data such as Hadoop, MapReduce, and Hive. This Web seminar examines the benefits of big data and the role of the data scientist in deploying and using big data solutions. It discusses the benefits of Hadoop MapReduce, Hive, and relational DBMSs with native MapReduce capabilities. It also presents a set of scenarios outlining how Hadoop and relational DBMS technology coexist and exciting new technology which bridges the gap between business analysts and Hadoop data, making it easier to benefit from big data and big data analytics.
BI Research, Teradata Aster, and Hortonworks are teaming up to provide clear guidance on big data architecture and product integration to bring more value to businesses. Join their discussion to learn more about:
MapReduce for the data scientist: the Hapoop/Hive and RDBMS approaches
Back to the Future: file systems versus database systems
Hadoop and relational DBMS coexistence strategies
Bridging the gap: new approaches for business analysis of data in Hadoop