By Mannamal-Oracle on May 20, 2014
The table below gives an overview of the Hadoop distributions that work with Oracle Big Data Connectors.
You can now try all the examples technical expert Bob has been blogging about in a VM. Download the VM from here, and the instructions (hands on lab) for using the connectors in the VM from here. The VM contains complete examples for using the connectors and other big data products. Check it out!
The VM contains a single-node Hadoop cluster, an Oracle Database, the Oracle Big Data Connectors and a lot more. With everything in the same VM it can be used to test performance, but it can be used to play around with the technology and test functionality.
Oracle Loader for Hadoop can be used to load data from multiple data sources (for example Hive, HBase), and data in multiple formats (for example Apache weblogs, JSON files). There are two ways to do this:
These approaches are discussed in our Oracle Open World 2013 presentation.
(1) Use an input format implementation. Oracle Loader for Hadoop includes several input format implementations. In addition, a user can develop their own input format implementation for proprietary data sources and formats.
(2) Leverage the capabilities of Hive, and use Oracle Loader for Hadoop to load from Hive.
Oracle Loader for Hadoop and Oracle SQL Connector for HDFS