Cleveland Big Data and Hadoop User Group

5:15pm - meet-n-greet, pizza.

6pm - General announcements, recruiting shout-outs.

Talks:

Krishna Potluri (Progressive) - Hadoop Ingestor is a data ingestion tool, which connects to various data sources and ingests the data into Hive Tables. The ingestion is done using tools such as Sqoop, DTL, JDBC, Hive, etc. Ingestion process also involves performing change data capture on every table ingested. Hadoop Ingestor drastically reduces code maintenance and duplicity. Internal statistics have shown that it takes somewhere from 4-8 hours of work for any amount of tables, files, mainframe data sources.

Joe Intrakamhang (Google) – A worldwide consistent database that is fully managed. What is this database you speak of? It is a product from Google called Cloud Spanner. In this talk, we will share an overview, how Cloud Spanner works, and an awesome demo.

Note: the entrance to Studio96 in in the BACK of the building.