Back to Blog

Azure Synapse Analytics Learning Path

A hands-on guide to prepare for data onboarding with Azure Synapse Analytics. Master ingestion, transformation, and querying in 1–2 weeks.

Your Progress

0%

0 of 5 steps completed

Step 1 — Solidify the Fundamentals

Estimated time: 1–2 days

Key Topics

  • •Synapse Studio — the unified workspace for pipelines, notebooks, SQL, and monitoring
  • •Dedicated SQL Pools — provisioned warehousing for predictable query loads
  • •Serverless SQL Pools — on-demand queries against your data lake
  • •Apache Spark Pools — managed Spark for PySpark/SQL/Scala
  • •Linked Services & Integration Datasets — connecting external sources

Practice Exercise

Start with Microsoft Learn's Synapse fundamentals path.

Step 2 — Data Ingestion

Estimated time: 2–3 days

Step 3 — Transforming & Cleaning Data

Estimated time: 2–3 days

Step 4 — Querying Data

Estimated time: 1–2 days

Step 5 — End-to-End Practice

Estimated time: 1 day

Recommended Timeline

Week 1 (Days 1–2)

Fundamentals — Understand Synapse Studio, SQL Pools, Spark Pools

Week 1 (Days 3–5)

Data Ingestion — Build a pipeline to load a CSV into a SQL table

Week 2 (Days 1–3)

Transformation — Clean data using notebooks and dataflows

Week 2 (Days 4–5)

Querying & End-to-End — Run OPENROWSET queries and a mini onboarding run-through

Free Resources

Microsoft Learn — Synapse Path

Full structured learning path, free, self-paced with labs

DP-203 Study Guide

Data Engineering on Azure — covers Synapse deeply; useful for certification too

Azure Synapse Documentation

Official Microsoft docs covering all features and how-to guides

Azure Free Account

Practice environment — get free Azure credits to build and test in Synapse

Ready to get hands-on? Start with Microsoft Learn's free labs.

Start Learning