Azure Databricks & Spark For Data Engineers (PySpark / SQL)

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Azure Databricks & Spark For Data Engineers (PySpark / SQL)

Real World Project on Formula1 Racing for Data Engineers using Azure Databricks, Delta Lake, Azure Data Factory [DP203]

Created by Ramesh Retnasami | 15 hours on-demand video course

This is like no other course in Udemy for Azure Databricks. Once you have completed the course including all the assignments, I strongly believe that you will be in a position to start a real world data engineering project on your own and also proficient on Azure Databricks. I have also included lessons on Azure Data Lake Storage Gen2, Azure Data Factory as well as PowerBI.

What you’ll 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 from Formula1 motor racing
  • 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 solution for 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, but the primary objective of the course is not to teach you to pass the exams.
  • You will learn how to connect to Azure Databricks from PowerBI to create reports

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