Welcome to the Oracle Big Data Connectors blog, which will focus on posts related to integrating data on a Hadoop cluster with Oracle Database.

In particular the blog will focus on best practices, usage notes, and performance tips for using Oracle Loader for Hadoop and Oracle Direct Connector for HDFS, which are part of Oracle Big Data Connectors. Oracle Big Data Connectors 1.0 also includes Oracle R Connector for Hadoop and Oracle Data Integrator Application Adapters for Hadoop.

Oracle Loader for Hadoop: Oracle Loader for Hadoop loads data from Hadoop to Oracle Database. It runs as a MapReduce job on Hadoop to partition, sort, and convert the data into an Oracle-ready format, offloading to Hadoop the processing that is typically done using database CPUs. The data is thenloaded to the database by the Oracle Loader for Hadoop job (online load) or written out as Oracle Data Pump files for load and access later (offline load) with Oracle Direct Connector for HDFS.

Oracle Direct Connector for HDFS: Oracle Direct Connector for HDFS is a connector for high speed access of data on HDFS from Oracle Database. With this connector Oracle SQL can be used to directly query data on HDFS. The data can be Oracle Data Pump files generated by Oracle Loader for Hadoop or delimited text files. The connector can also be used to load data into the database using SQL.