Microsoft has introduced a new Azure data analytic product to better process and analyze large volumes of data, Azure Synapse Analytics. This session provides an overview to show the product in action. To better understand when you would want to use this product, the session includes scenarios and use cases to show where Azure Synapse Analytics would be the best tool for the job. There are two major components of the product, the newly renamed SQL DW and the Azure Synapse studio. Azure Synapse (formerly known as Azure SQL DW) now includes more data storage solutions, such as data lake and parquet file, and commands, like non-polybase COPY and PREDICT. We will explore these changes and others which you will need to know to provide better insight and performance when analyzing your data. Azure Synapse Studio incorporates a lot of other Azure features, including orchestration, spark, notebooks, and incorporating existing Machine Learning models. The session demonstrations will provide you a clear understanding of how to use these features in your environment by showing the steps needed to implement these components into a solution.