Using a message queuing system is just the first step in our data pipeline design. At the other end of message queuing we would typically have a data warehouse to process the vast amount of data that arrives. There are numerous options there and it is not the main focus of this book to go over these or compare them but we will skim through two of the most widely used options, both from the Apache foundation: Apache Hadoop, and Apache Spark.