Spark, SQL, Kafka, Snowflake, Airflow, dbt, warehousing, system design — written as revision notes, not textbooks. Read every page right here. Downloading takes one Google sign-in, and nothing else.
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The library
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Lecture Zero plus fourteen chapters — Linux, SQL, Python, data modeling, storage, cloud, pipelines, Spark, Airflow, Kafka, data quality, a portfolio project and the interview loop. Every figure measured. Free, and it never uses your free note.
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Twenty pages on how your code actually reaches production: Git and merge requests, .gitlab-ci.yml line by line, rules and runners, dbt Slim CI without dbt Cloud, shipping Airflow DAGs and Databricks asset bundles, plus 25 rapid-fire interview questions.
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The full written notes from the 29 August live build: loading raw IPL match data into Databricks, DataFrame analysis with groupBy, window functions, joins and UDFs, tuning with caching and partitioning, and writing the processed outputs to Delta.
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Two free ways to see where you stand
After the notes
Read them in order if you like — the free library first, then the deep-dive modules, then the live cohort when you want someone reviewing your work.
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SQL, Python, Power BI, PySpark and Excel — full video lessons with MCQs and a proctored skill test at the end. The notes are the summary; this is the teaching.
Open the free libraryLearn Pro · one pass
Complete PySpark and Databricks modules — recorded end to end, with the project notebooks and optimisation guides that go with them.
See what's insideAI-Powered Data Engineering Cohort 4 · starts 3 October 2026
Live weekend classes (Sat–Sun · 7 AM–10 AM IST), real projects, assignments that get graded, and placement support — the full path, taught with you in the room.
See the curriculumEvery note on this page stays free. Nothing above is required to download them.