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Overview
In this course, you will learn basic skills that will allow you to use the Databricks Data Intelligence Platform to perform a simple data engineering workflow and support data warehousing endeavors. You will be given a tour of the workspace and be shown how to work with objects in Databricks such as catalogs, schemas, volumes, tables, compute clusters, and notebooks. You will then follow a basic data engineering workflow to perform tasks such as creating and working with tables, ingesting data into Delta Lake, transforming data through the medallion architecture, and using Databricks Workflows to orchestrate data engineering tasks. You’ll also learn how Databricks supports data warehousing needs through the use of Databricks SQL, Delta Live Tables, and Unity Catalog. With the purchase of a Databricks Labs subscription, the course also closes out with a comprehensive lab exercise to practice what you’ve learned in a live Databricks Workspace environment.
Databricks Overview Using Databricks for Data Engineering
Coming Soon...
Databricks Overview Databricks Data Intelligence Platform Demo: Databricks Workspace Walkthrough Using Databricks for Data Engineering Introduction to Data Engineering LakeFlow Overview Delta Lake Overview Demo: Creating and Working with a Delta Table Lakeflow Connect Ingestion Techniques Overview Demo: Ingesting Data into Delta Lake Data Transformation Overview Demo: Transforming Data Using the Medallion Architecture Performing ETL with DLT Unified Orchestration Using Lakeflow Jobs Demo: Creating a Simple Databricks LakeFlow Job Lab: Ingest and Manipulate a Delta Table
Databricks Overview
Using Databricks for Data Engineering
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