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Overview
In this course, you'll learn how to effectively use Databricks for data analytics, with a specific focus on Databricks SQL. As a Databricks Data Analyst, your responsibilities will include finding relevant data, analyzing it for potential applications, and transforming it into formats that provide valuable business insights.
You will also understand your role in managing data objects and how to manipulate them within the Databricks Data Intelligence Platform, using tools such as Notebooks, the SQL Editor, and Databricks SQL.
Additionally, you will learn about the importance of Unity Catalog in managing data assets and the overall platform. Finally, the course will provide an overview of how Databricks facilitates performance optimization and teach you how to access Query Insights to understand the processes occurring behind the scenes when executing SQL analytics on Databricks.
Data Discovery Data Importing SQL Execution Query Analysis
Coming Soon...
Data Discovery Using Unity Catalog as a Data Discovery Tool Understanding Data Object Ownership Lab: Use Unity Catalog to Locate and Inspect Datasets Data Importing Ingesting Data into Databricks Demo: Uploading Data to Databricks Using the UI Demo: Programmatic Exploration and Data Ingestion to Unity Catalog Lab: Import Data into Databricks SQL Execution Databricks SQL and Databricks SQL Warehouses Demo: The Unified SQL Editor Demo: Manipulate and Transform Data with Databricks SQL Demo: Creating Views with Databricks SQL Lab: Manipulate and Analyze a Table Query Analysis Databricks Photon and Optimization in Databricks Demo: Query Insights Best Practices for SQL Analytics
Data Discovery
Data Importing
SQL Execution
Query Analysis
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