This document discusses moving data between Oracle Exadata and Hadoop for fast loading. It begins by introducing Oracle SQL Connector for HDFS, which allows querying Hadoop data using Oracle SQL and external tables. However, initial tests of loading 1TB of data showed slow speeds of only 75MB/second due to bottlenecks. Subsequent tests revealed the bottleneck was datatype conversion CPU usage on the Oracle side. The document then introduces Oracle Loader for Hadoop, which offloads datatype conversion to Hadoop cluster CPUs, allowing much faster loading of over 1GB/second by leveraging all available CPUs. Proper partitioning is also required for direct path loads to avoid contention.