The Machine Learning extension for Azure Data Studio enables you to manage packages, import machine learning models, make predictions, and create notebooks to run experiments for your SQL databases.

Azure Data Studio is a cross platform multi database tool designed with the data developer in mind . Now with an integrated Notebook experience you can learn machine learning jobs using Python and Spark within Azure Data Studio. Azure Data Studio provides some of the best in class packages like "PROSE" for data preparation which no other Notebook in the world provides. In this session we will provide an overview on Azure Data Studio, demo how we can use PROSE for data preparation and then build a Machine Learning Notebook using some of the common ML packages.

Modern enterprises are struggling to gain insights from an exploding number of database management systems and ever-growing data volumes. SQL Server 2019 can help you overcome the challenges of integrating data and bring AI and machine learning to all of your data, structured and unstructured. It can also help you better manage your relational data right now. In this webinar, Introduction to SQL Server 2019, hear from Debbi Lyons, Senior Product Marketing Manager, Travis Wright, Principal Program Manager, and Bob Ward, Principal Architect at Microsoft discuss the latest updates and features for the new SQL Server release, including introducing the new big data cluster with intelligence over any data, how SQL Server 2019 enhances the developer experience, and using tools including Azure Data Studio. Listen to the webinar on-demand to learn more about what's new in SQL Server 2019, including how to: With SQL Server 2019 big data clusters, Apache SparkTM and HDFS are packaged together with SQL Server as a single, integrated solution.