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Complete Guide to Databricks for Data Engineering Preview

Complete Guide to Databricks for Data Engineering

With Deepak Goyal Liked by 397 users
Duration: 6h 9m Skill level: Intermediate Released: 2/28/2025

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Course details

In this course, master Databricks to become an ace data engineer. Learn how to expertly debug, process, and analyze huge amounts of data and build scalable solutions as instructor Deepak Goyal guides you through a deep dive on how the Databricks platform works. Explore PySpark transformation and Spark SQL in Databricks, along with how to read and write a DataFrame in Databricks. Plus, learn about Delta Lake, join optimizations, notebook scheduling, cluster management, workflows, and more.

Skills you’ll gain

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Sample certificate

Certificate of Completion

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Meet the instructor

Learner reviews

4.8 out of 5

69 ratings
  • 5 star
    Current value: 58 84%
  • 4 star
    Current value: 10 14%
  • 3 star
    Current value: 1 1%
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  • Guillermo Alfonso Moreno Quijano Guillermo Alfonso Moreno Quijano

    Guillermo Alfonso Moreno Quijano

    Software & Data Engineer | Web Developments | Data Projects | Systems Migrations | Big Data | Azure | Agile | .NET | JavaScript | C# | SQL |…

    4/5 May 20, 2025
    Databricks is evolving too fast and some things change or get handled different. The material is great but need constant refreshing
    Helpful · Report
  • ramesh ummadisetty ramesh ummadisetty

    ramesh ummadisetty

    Azure data Architect , Snowflake Data Architect ,Data Modeler ,Have strong experience on Azure Data Bricks, Snowflake, Azure data Factory/lake, SQL…

    5/5 May 15, 2025
    Nice explanation with good examples.
    Helpful · Report
  • Pradeep kumar P Pradeep kumar P

    Pradeep kumar P

    "Oracle Database Developer | SQL | Database Optimization"

    4/5 May 6, 2025
    ok
    Helpful · Report

Contents

What’s included

  • Practice while you learn 1 exercise file
  • Learn on the go Access on tablet and phone

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