Azure Data Pipeline Overview

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?? Azure Data Engineering: Data Pipeline Flow ??

Here’s a quick breakdown of a typical Azure data pipeline:

1. Data Ingestion ??

• Tools: Azure Data Factory, Event Hubs
• Ingest data from multiple sources (databases, APIs, IoT).

2. Data Storage ??

• Tools: Azure Data Lake, Blob Storage, SQL DB
• Store raw and structured data for easy access.

3. Data Processing ??

• Tools: Azure Databricks, Synapse Analytics
• Clean, transform, and aggregate data using Apache Spark.

4. Data Modeling & Analytics ??

• Tools: Synapse, Power BI
• Build data models and power real-time dashboards for insights.

5. Monitoring ???

• Tools: Azure Monitor, Log Analytics
• Track pipeline performance and optimize resource usage.

Ingest → Store → Process → Model → Analyze → Monitor ??

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