Complete Guide to Databricks for Data Engineering
With Deepak Goyal
Liked by 723 users
Duration: 6h 9m
Skill level: Intermediate
Released: 2/28/2025
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
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Meet the instructor
Learner reviews
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Syed Areef
Syed Areef
Azure Data Engineer | ADF | Snowflake | Databricks | Oracle SQL | ETL Developer | Cloud Data Migration | DP-203 Certified
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Abhaysingh Madake
Abhaysingh Madake
Data Engineer | Azure Data Factory | PySpark | Databricks | Python | Building Scalable Data Pipelines
Contents
What’s included
- Practice while you learn 1 exercise file
- Learn on the go Access on tablet and phone
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