Pipelines · Spark · Databricks · Fabric · Course by Ravindra Bagale
Data Engineering
Build the pipes: from CSV and SQL to Spark ideas and Databricks overview
Free beginner Data Engineering course: DE vs DS/analytics, OLTP vs OLAP, batch vs streaming, SQL/Python for pipelines, Spark and Databricks basics — easy English, India examples..
8 chapters 32 concepts
Course outline (Volume 1 — first 8)
Click a chapter to see its concepts. Each concept has its own page.
Chapters 1–8
Frequently asked questions
Is this Data Engineering course free?
Yes. Yes. These chapters are free to read online.
Do I need Databricks or Fabric paid accounts?
Early chapters use concepts + local Python/SQL. Databricks/Fabric chapters explain the workspace idea; use free/community/trial options only after you read the vendor’s current terms.
Is this the same as Data Science?
No. Data Science focuses more on analysis and models. Data Engineering focuses on reliable pipelines and tables others can trust.
Will we learn Spark deeply in these 8 chapters?
You get a clear Spark mental model and a tiny PySpark sample. Deeper cluster tuning comes later.
Join an online / offline batch — Enquire now
Ravindra Bagale runs online and offline batches for AWS, Azure, DevOps, Data Analytics, Power BI and Cyber Security.