This course delves into the use of the Databricks connect utility to link up local development environments such as Jupyter Notebooks or Pycharm and Azure Databricks. This allows you to develop Spark applications locally and run them on the cloud.

With over 2.5 quintillion bytes of data generated each day, you need to rely on modern tools to efficiently use and analyze data. In this course, you will learn how to leverage the power of Azure to create data integration pipelines in the cloud.

This course will teach you how to use functions and procedures apart and together to build robust data management systems.

This course is for business intelligence developers and database professionals responsible for moving, manipulating, and integrating data and assumes no prior experience with Integration Services

This course is for business intelligence developers and database professionals responsible for moving, manipulating, and integrating data. You'll delve into a big picture view of Integration Services to better understand what it can do for you.

This course is for business intelligence developers and database professionals responsible for moving, manipulating, and integrating data and assumes completion of the Integration Services Fundamentals Part 1 course.

Master data modeling in Power BI.

Manipulate text data, analyze it and more by mastering regular expressions and string distances in R.

Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!

In this course, you will use T-SQL, the flavor of SQL used in Microsoft's SQL Server for data analysis.

Use SQL to create, access, and update tables of data in a relational database.

Learn how to implement and schedule data engineering workflows.