In this chapter, we learned a few advanced concepts for Impala, such as how Impala relates to MapReduce, Hive, and other frameworks in the Hadoop ecosystem. We also discussed what makes Impala so fast in processing data and as an Impala user what you can do to improve processing. We discussed the supported file formats in Hadoop to combine with Impala depending on the input data type. By now, you will be prepared to take advantage of in-memory data processing with Impala to process your various types of source data, stored in Hadoop.