This document outlines the topics covered in a big data analytics training course, including an introduction to big data and Hadoop, the Hadoop ecosystem concepts, MapReduce concepts, Pig concepts, Hive concepts, Oozie workflow concepts, HBASE concepts, and real-life use cases. It also lists specific topics that will be covered such as the history of Hadoop, Hadoop ecosystems, HDFS, MapReduce statistics, understanding clusters, typical workflows, writing and reading files from HDFS, rack awareness, and developing MapReduce applications.