๐ง What You’ll Learn
In this module, you'll learn:
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What Azure Synapse is 
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How to create a Synapse workspace step-by-step 
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How to configure linked services (SQL, Blob, etc.) 
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Key setup tips for new users 
๐ก What is Azure Synapse Analytics?
Azure Synapse is Microsoft’s unified platform for data integration, warehousing, and big data analytics. It combines SQL-based data warehousing with Apache Spark, Data Lake, and powerful ETL pipelines — all in one place.
๐งฑ Step-by-Step: Create a Synapse Workspace
๐งฉ Step 1: Go to Azure Portal
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Visit: https://portal.azure.com 
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Search for Synapse Analytics in the search bar 
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Click + Create 
๐งพ Step 2: Fill Workspace Details
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Resource group: Create or select one 
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Workspace name: Example – synapse-data-pipeline
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Region: Choose the one nearest to your users 
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Data Lake Storage Gen2: Choose or create a new Storage Account and container (file system) 
✅ Pro Tip: Keep naming consistent across services for clarity.
๐ Step 3: Review Security Settings
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Set up Managed Identity 
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Optionally configure Networking and Firewall Rules 
๐ Step 4: Click “Review + Create” → Then “Create”
⏱ It will take 1–3 minutes to deploy.
๐ธ Image Tip: Include a screenshot of the “Create Synapse Workspace” form.
๐ Connect Linked Services (Data Sources)
Once your workspace is ready:
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Open Azure Synapse Studio (from portal or workspace link) 
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Go to Manage > Linked Services 
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Click + New and select a source (e.g., Azure SQL, Blob, etc.) 
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Enter credentials or use Managed Identity 
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Test connection → Create 
✅ Use linked services to bring in data sources securely.
๐ธ Image Tip: Linked service creation screen in Synapse Studio
⚙️ Initial Configuration Tips
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Set up Integration Runtimes for copy/move operations 
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Configure Apache Spark pool if you plan to run big data workloads 
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Turn on Git Integration if using version control (optional but useful) 
๐ What’s Next?
In the next module, we’ll build your first data pipeline in Synapse using the GUI.
๐ Next Up: Module 3 — Build Your First Synapse Data Pipeline

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