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150+ hands-on tutorials on Azure, Databricks, Fabric, SQL, PySpark, Python, AWS, and AI/ML. No fluff — just the patterns, code, and real-life analogies you actually use on the job.
Every tutorial comes from real project experience, not textbook theory.
📣 Used by engineers preparing for Microsoft certifications
“I passed the DP-700 exam and drivedatascience.com was one of the resources I used for preparation. It has really detailed posts.”
— Multiple Reddit users on r/MicrosoftFabric, June–July 2026
🗺️ Where Should I Start?
🔷 New to Azure Data Engineering?
Follow this path — each post builds on the previous one:
1. What is Azure Data Factory?
2. Azure Data Lake Storage Gen2
3. Build a Metadata-Driven Pipeline
4. Synapse Pipeline with Audit Logging
5. The Medallion Architecture
6. SCD Types 0, 1, 2, 3, and 6
→ See all Azure posts →
🟣 Learning Microsoft Fabric?
Start with the Lakehouse, then work through pipelines and optimization:
1. Fabric Lakehouse Deep Dive
2. Fabric Data Factory & Pipelines
3. Fabric Notebooks & Spark
4. Apache Spark in Fabric
5. DP-700 Certification Study Guide
→ See all Fabric posts →
🐍 Learning Python from Scratch?
A 10-post foundations series — from variables to functional programming:
1. Variables, Data Types & Type Conversion
2. Strings → 3. Lists → 4. Tuples, Sets & Frozensets
5. Dictionaries → 6. Conditionals → 7. Loops
8. Functions → 9. Comprehensions → 10. Lambda, map, filter, reduce
→ See all Python posts →
📚 Browse by Category
☁️ Azure Data Engineering — 37 posts
ADF, Synapse, ADLS Gen2, Networking, Data Flows, SCD Pipelines, CI/CD, ARM Templates, and complete pipeline patterns.
Popular: What is ADF? · Metadata-Driven Pipeline · Connections & Auth
🔷 Microsoft Fabric — 34 posts
Lakehouse, Warehouse, Data Factory, Notebooks, Spark, Delta Lake, OneLake, KQL, Git Integration, REST APIs, Administration, and DP-700 exam prep.
Popular: Lakehouse Deep Dive · Notebooks & Spark · DP-700 Study Guide
🧱 Databricks — 18 posts
Delta Lake, Unity Catalog, AutoLoader, Workflows, Secret Scopes, Volumes, SQL Warehouses, Structured Streaming, DABs CI/CD, and PySpark transformations.
Popular: Delta Lake Deep Dive · Unity Catalog · Git Integration & CI/CD
🗃️ SQL — 15 posts
Execution order, WHERE clauses, GROUP BY, subqueries, all join types, window functions, CTEs, normalization, star schema, and stored procedures.
Popular: All Join Types · Window Functions · CTEs & Subqueries
🐍 Python — 11 posts
Complete Python foundations series — variables, strings, lists, tuples, sets, dicts, conditionals, loops, functions, comprehensions, and lambda/map/filter/reduce.
Popular: Python for Data Engineers · Functions & Scope · Lambda, map, filter, reduce
⚡ PySpark — 14 posts
SparkSession setup, architecture, lazy evaluation, all join types, window functions, SCD with Delta MERGE, UDFs, data cleaning, JDBC/API ingestion, and Delta operations.
Popular: Window Functions · UDFs & Higher-Order Functions · Data Cleaning & Validation
🤖 AI & Machine Learning — 9 posts
Regression, classification, feature engineering, model evaluation, clustering, hyperparameter tuning, fine-tuning LLMs, and practical ML workflows.
Popular: Feature Engineering · Clustering & K-Means · Fine-Tuning LLMs
🟠 AWS — 4 posts
S3, Glue, Lambda, Amplify, FastAPI on Lambda, and serverless patterns for data engineers.
Popular: FastAPI on Lambda · AWS Amplify · Glue Data Catalog
📖 Concepts & Interview Prep — 7 posts
Medallion architecture, data quality, file formats, RBAC, cloud computing fundamentals, table governance, and how real companies receive data.
Popular: Medallion Architecture · File Formats Guide · How Companies Receive Data