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tutorialsDatabricks·July 23, 2021

Databricks SQL Analytics Deep Dive for the Data Analyst

Description

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.) Connect with us: Website: https://databricks.com Facebook: https://www.facebook.com/databricksinc Twitter: https://twitter.com/databricks 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

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