Building End-to-End Solution Using Azure Synapse Analytics — Lesson 1: Synapse Architecture, Workspaces, and Data Ingestion

Learning Objectives

• Explain Synapse workspace architecture, integration runtime, storage, SQL, Spark, and pipeline roles
• Design ingestion from files, databases, APIs, and cloud data sources
• Configure linked services, datasets, pipelines, triggers, parameters, and monitoring

Detailed Topics

• Explain Synapse workspace architecture: Explain Synapse workspace architecture, integration runtime, storage, SQL, Spark, and pipeline roles
• Design ingestion from files: Design ingestion from files, databases, APIs, and cloud data sources
• Configure linked services: Configure linked services, datasets, pipelines, triggers, parameters, and monitoring

Guided Demonstration

1. Review the requirement, environment, dependencies, roles, risks, and expected outcome.
2. Demonstrate the relevant configuration, analysis, code, or administration workflow step by step.
3. Capture settings, outputs, logs, screenshots, calculations, or test evidence.
4. Compare the observed result with the stated acceptance criteria.

Hands-On Activity

Create an ingestion design and build a parameterized pipeline for a sample source.

• Document assumptions and the planned sequence before making changes.
• Complete the activity and preserve evidence of normal and exception behavior.
• Record issues, corrective actions, and reusable operational or development notes.

Troubleshooting Focus

• Separate symptoms from causes and collect evidence before applying a fix.
• Check configuration, permissions, data, dependencies, capacity, connectivity, and recent changes.
• Validate rollback, recovery, support ownership, and user or business impact.

Validation Checklist

• The requirement and expected outcome are clear.
• The selected configuration, design, query, code, or process is documented.
• Normal, boundary, failure, security, and operational conditions are reviewed.
• The result is supported by evidence and the next improvement is prioritized.

Lesson Outcome

Learners can explain and apply Synapse Architecture, Workspaces, and Data Ingestion in a realistic scenario and validate the result with documented evidence.