In this course,
First, you will learn how to import, process, transform, and visualize big data.
Next, we will cover how to write custom, scalable, distributed functions which can be executed in a number of compute contexts. In addition, you will learn how to use the state of the art machine learning algorithms included in the MicrosoftML package. Then, we will integrate machine learning experiments into SQL Server.
Finally, we will cover how to using the machine learning server with Hadoop and Spark, including integration with popular frameworks such as PySpark, SparkR and Sparklyr. We will spin up an HDInsight cluster in Microsoft Azure, and also build a Spark development environment from scracth.