Data Engineering with Databricks Course


Data Engineering with Databricks Course

Here’s a breakdown of what you need to know about data engineering with Databricks courses, including recommended options:

Understanding Data Engineering with Databricks

  • What it is: Data engineering on Databricks focuses on building reliable pipelines for extracting, transforming, and loading (ETL) data at scale. Databricks builds upon the power of Apache Spark for distributed data processing and offers a unified platform for data engineering, data science, and machine learning.
    • Critical Skills Gained: Working with Databricks workspaces
    • Delta Lake (optimized, transactional data storage on cloud object storage)
    • Using Spark SQL for data transformations
    • Python for data engineering tasks
    • Data pipeline development and orchestration
    • We utilize features like Auto Loader and Structured Streaming for real-time data processing.

Course Options

  1. Official Databricks Courses
    • Data Engineering with Databricks:  This foundational course covers all the core concepts mentioned above.
    • Advanced-Data Engineering with Databricks:  If you already have some experience, this course dives into more complex data processing, data modeling, and workflow optimization
  • Databricks Certifications: Validate your skills with the “Databricks Certified Data Engineer Professional” or “Associate” certifications.
  1. Third-Party Platforms


  • Basic SQL knowledge
  • Some Python programming experience is beneficial
  • Understanding of cloud concepts (object storage, virtual machines)

Choosing the Right Course

  • Skill Level: If you’re new to data engineering or Databricks, start with the official “Data Engineering with Databricks” course.
  • Focus: Consider whether you want a general overview or a deep dive into specific advanced aspects.
  • Budget: Official Databricks courses can be more expensive than those on third-party platforms.
  • Certifications: Their official courses are the best preparation if you’re aiming for a Databricks certification.

Additional Tips

  • Hands-on Practice: Databricks offers a free Community Edition account to try things out.
  • Explore Databricks Documentation: Their documentation is extensive and well-maintained.
  • Community: Join online communities for peer support and knowledge sharing.

Databricks Training Demo Day 1 Video:

You can find more information about Databricks Training in this Dtabricks Docs Link



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