Azure Synapse Analytics

1. Azure Synapse Analytics: Data Warehousing

Azure SynapseAnalytics: DataWarehousing

2. What is Azure Synapse Analytics?

• Unified platform for enterprise analytics
• Combines big data and data warehousing
• Deep integration with Power BI, Azure Machine Learning, and more
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3. Azure Synapse Architecture

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4. Key Features

• Unified experience (SQL + Spark)
• On-demand and provisioned compute
• Deep Power BI integration
• Built-in security, governance, and monitoring
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5. Synapse vs Traditional Data Warehousing

Feature
Traditional DW
Azure Synapse
Scale
Limited
Cloud-scale
Integration
Separate tools
Unified platform
Real-time data
Difficult
Native support
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6. Synapse SQL Pools

• Dedicated Pool: High performance, optimized storage
• Serverless Pool: On-demand querying over Data Lake
• When to use each
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7. Data Integration in Synapse

• Synapse Pipelines overview (based on Azure Data Factory)
• Ingest, transform, orchestrate
• Connectors to 90+ data sources
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8. Data Lake + Synapse

• Synapse Studio interface
• Lake Database and Delta Lake support
• Analyze Parquet, CSV, JSON without ETL
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9. Power BI Integration

• Direct connection to Synapse datasets
• Visualize in real-time
• Secure data sharing across teams
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10. Security and Governance

• Managed VNET, Private Endpoints
• Role-Based Access Control (RBAC)
• Auditing and compliance
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11. Real-world Use Cases

• Modern enterprise reporting
• IoT analytics
• Retail: Sales + Inventory forecasting
• Finance: Risk and fraud analysis
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12. Performance & Pricing Model

Performance & Pricing Model
• Scale out compute with Synapse SQL
• Pause/resume options for cost control
• Serverless cost = per query TB processed
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13. Demo / Screenshot Walkthrough

• Synapse Studio workspace
• Query execution
• Pipeline creation
• Power BI dashboard integration
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14.

Contact HERE
AccentFuture
AZURE DATA ENGINEER ONLINE TRAINING
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