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8 modules · Self-paced · Practice included

Data Engineering and Cloud Platforms

Design validated analytical pipelines and compare local, distributed and managed-platform approaches.

24 published lessons24h suggested study2 free introductory modules
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Understand it. Practise it. Explain it.

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Every module includes three substantial lessons, downloadable source files, practical exercises, explained solutions and a knowledge check. Modules marked free are available under the current public access rules. Protected self-learning modules are free after registration and email verification. Publication, prerequisites and explicit private-access rules still apply.

03Free · verified account

Apache Spark and Distributed Processing

Understand partitions and shuffles with a tested local analogue and an optional Spark lab.

3 lessons · 2h 55m suggested

  • A reconciled partition calculation
  • An optional Spark transformation walkthrough
  • An execution and verification record
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  1. Reason about partitions and partial aggregates · Verified account
  2. Read and transform a Spark DataFrame · Verified account
  3. Inspect execution, shuffles and operational limits · Verified account
04Free · verified account

Workflow Orchestration with Airflow

Declare dependencies and retries without confusing a DAG definition with a successful run.

3 lessons · 2h 55m suggested

  • A dependency and failure graph
  • A parse-time/task-time review
  • A retry, backfill and acceptance policy
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  1. Define a DAG and dependency contract · Verified account
  2. Separate DAG parsing from task execution · Verified account
  3. Choose retry and scheduling policies deliberately · Verified account
05Free · verified account

Cloud Data Platforms

Compare service responsibilities and design a no-provisioning architecture exercise.

3 lessons · 2h 55m suggested

  • A three-provider role matrix
  • An access/region/cost decision record
  • A justified local-versus-managed recommendation
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  1. Map managed services to responsibilities · Verified account
  2. Design access, region and cost boundaries · Verified account
  3. Compare a local baseline with a future managed option · Verified account
06Free · verified account

End-to-End Data Pipeline Project

Deliver an auditable pipeline with validation, failure evidence and an operating handover.

3 lessons · 2h 55m suggested

  • A pipeline acceptance contract
  • Executed baseline, rerun and failure tests
  • An operating/recovery handover and extension
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  1. Define the pipeline contract and deliverables · Verified account
  2. Execute and test the workflow · Verified account
  3. Hand over operations and recovery · Verified account
07Free · verified account

Warehouse transformations, dbt and query review

Trace a corrected order through a warehouse model: use an original fictional source to implement, verify and explain three connected professional assignments.

3 lessons · 3h 15m suggested

  • Source/metric/access contract
  • Independent implementation and exact run instructions
  • Unchanged control and changed-input/failure evidence
  • Decision memo with limitations and next evidence
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  1. Trace a corrected order through a warehouse model · Verified account
  2. Build dbt-style transformations and meaningful data tests · Verified account
  3. Review a query plan without inventing a speed claim · Verified account
08Free · verified account

Governance, lineage and responsible AI review

Build a privacy-conscious reporting view: use an original fictional source to implement, verify and explain three connected professional assignments.

3 lessons · 3h 15m suggested

  • Source/metric/access contract
  • Independent implementation and exact run instructions
  • Unchanged control and changed-input/failure evidence
  • Decision memo with limitations and next evidence
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  1. Build a privacy-conscious reporting view · Verified account
  2. Trace data lineage and review a changed definition · Verified account
  3. Review AI risk, group metrics and audit evidence · Verified account
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