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AZURE · MATERIALS

Azure Data Engineering — Study Materials

Index of Azure Data Engineering reference notes — the Azure Data Factory deep-dive across two parts, plus pointers to interview-question banks for the surrounding Azure / data stack.

09 January 2026· 1 min read·by Mr. Abhishek Agrawal
Note
The source pages on blogs.rajcloudtech.com — "Azure Data Factory Notes: Part-1" and "Part-2" — are diagram-led references (12 architecture / pipeline diagrams across the two parts). The migration below preserves the structure; the diagrams themselves need a separate image-migration pass to drop in.

Azure Data Factory Notes — Part 1

Diagram-led walkthrough of the Azure Data Factory foundations — orchestration, linked services and integration runtimes. Six diagrams (P01–P06) cover the architectural building blocks every Azure data engineer should be able to draw on a whiteboard.

Diagrams pending
Images P01–P06 are referenced in the original post and will be migrated as image blocks once the asset transfer is complete. Until then, the source post is the canonical reference.

Azure Data Factory Notes — Part 2

Continuation of Part 1 — six further diagrams (P07–P12) covering pipeline patterns, parameterisation, debug runs, scheduling, monitoring and the integration handshakes between ADF and downstream services (Synapse, Databricks, Power BI).

Diagrams pending
Images P07–P12 are referenced in the original post and will be migrated as image blocks once the asset transfer is complete.

While the ADF diagrams are being migrated, the following posts give the surrounding Azure / data-stack practice material you would normally pair with this reference.

  • Snowflake — Interview Questions (warehouse + transformation + dbt depth)
  • Data Warehouse — Study Materials (modelling, SCD, ETL architecture)
  • Informatica IICS / IDMC — Study Materials (cloud-native ingestion patterns)

Related posts

Interview Questions

Snowflake — Interview Questions

A 200+ question bank covering Snowflake architecture, micro-partitions, Time Travel, caching, masking, streams, tasks, dynamic tables, data sharing and dbt-on-Snowflake — the depth panels probe in 2026.

27 May 2026·Snowflake
Materials

Data Warehouse — Study Materials

Foundational reference for data warehousing — BI components, operational vs analytical data, dimensional modelling, star vs snowflake schemas, SCD types, ETL architecture, and design approaches.

18 Nov 2023
Materials

Informatica IICS / IDMC — Study Materials

A combined reference for the cloud Informatica stack — introduction to IICS / IDMC plus deep dives on the six most-used transformations (Filter, Router, Expression, Joiner, Aggregator, Sorter).

06 Nov 2023·IICS / IDMC