Hadoop Ecosystem & Use Cases

Talks:

*Apache Tez - An Introduction, Emil A. Siemes, Hortonworks

Apache Tez generalizes the MapReduce paradigm to a more powerful framework for executing a complex DAG (directed acyclic graph) of tasks. MapReduce has been the data processing backbone for Hadoop, but its batch-oriented nature makes it unsuited for interactive query. Tez will allow projects in the Apache Hadoop ecosystem such as Apache Hive and Apache Pig to meet demands for fast response times and extreme throughput at petabyte scale. The Apache Tez project is part of the Stinger Initiative.

*Delivering Smarter ETL through Hadoop…
and More Value from Hadoop with Smarter ETL,
Rüdiger Schickhaus, Syncsort

The point is NOT that data warehouses are going away. The point is that you can rationalize the spend while taking advantage of more data, gaining new insights. Syncsort DMX-h can help to gain more value out of your data. Regardless if it is Mainframe data, Big Data or a Data Warehouse. ETL offload from any Database into Hadoop is helping to save money and make more out of your data.

Sponsoring:

comSysto is supporting the meetup with location, snacks and drinks.