Azure Databricks & Spark For Data Engineers:Hands-on Project
Real World Project on Formula1 Racing using Databricks, PySpark, Spark SQL, Delta Lake, Unity Catalog,Azure Data Factory
4.62 (21145 reviews)
127,898
students
20 hours
content
Mar 2025
last update
$99.99
regular price
What you will learn
You will learn how to build a real world data project using Azure Databricks and Spark Core. This course has been taught using real world data.
You will acquire professional level data engineering skills in Azure Databricks, Delta Lake, Spark Core, Azure Data Lake Gen2 and Azure Data Factory (ADF)
You will learn how to create notebooks, dashboards, clusters, cluster pools and jobs in Azure Databricks
You will learn how to ingest and transform data using PySpark in Azure Databricks
You will learn how to transform and analyse data using Spark SQL in Azure Databricks
You will learn about Data Lake architecture and Lakehouse Architecture. Also, you will learn how to implement a Lakehouse architecture using Delta Lake.
You will learn how to create Azure Data Factory pipelines to execute Databricks notebooks
You will learn how to create Azure Data Factory triggers to schedule pipelines as well as monitor them.
You will gain the skills required around Azure Databricks and Data Factory to pass the Azure Data Engineer Associate certification exam DP203
You will learn how to connect to Azure Databricks from PowerBI to create reports
You will gain a comprehensive understanding about Unity Catalog and the data governance capabilities offered by Unity Catalog.
You will learn to implement a data governance solution using Unity Catalog enabled Databricks workspace.
Related Topics
4182538
udemy ID
7/13/2021
course created date
7/21/2021
course indexed date
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