Databricks SQL Analytics Deep Dive for the Data Analyst

In this session, we will cover best practices for analysts, data scientists, and SQL developers exploring Databricks SQL Analytics as a solution for their companies. This guided technical tour of the product walks through:

• Creating and working with queries, dashboards, query refresh and alerts
• Constructing queries for semi-structured data, such as json, structs, and arrays
• Navigating the improved Spark SQL Documentation to find and leverage powerful built-in functions to solve common problems
• Creating connections to 3rd party BI and database tools (PowerBI, Tableau, dbVisualizer etc.)

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LinkedIn: https://www.linkedin.com/company/databricks
Instagram: https://www.instagram.com/databricksinc/ Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-named-leader-by-gartner