Organizations are grappling to manually classify and create an inventory for distributed and heterogeneous data assets to deliver value. However, the new Azure service for enterprises – Azure Synapse Analytics is poised to help organizations and fill the gap between data warehouses and data lakes.

1. Azure Synapse
Analytics

2. Agenda
2
1 Azure Synapse Analytics - Introduction
3 Architecture & Platform Overview
4 Demo
5 Q & A
2 Azure Synapse Analytics - Features

3. IMAGES WITH TEXTIntroduction – Azure Synapse Analytics
Brings together enterprise data
warehousing and Big Data analytics
Query data on your terms, using either
serverless on-demand or provisioned
resources—at scale
Provides unified experience to ingest,
prepare, manage and serve data for
immediate BI and ML needs

4. IMAGES WITH TEXTIntroduction – Features
Limitless
scale
Powerful
insights
Unified
experience
Unmatched
security

5. Azure Synapse - Focus Areas
Workload aware
Query execution
Data
Flexibility
Developer
Productivity
Best in class price
per performance

6. Azure Synapse Analytics Architecture
SQL Analytics : Complete T-SQL based analytics
• SQL pool (pay per DWU provisioned) - GA
• SQL on-demand (pay per TB processed) –
(Preview)
Spark : Deeply integrated Apache Spark (Preview)
Data Integration : Hybrid data integration (Preview)
Studio : unified user experience. (Preview)
Components

7. Azure Synapse – Platform
Integrated data platform for BI, AI and
continuous intelligence
AI / ML / IOT/ Intelligent Apps / BI

8. Demo - Azure Synapse
Analytics

9. IMAGES WITH TEXTResources
• WinWire blog - https://www.winwire.com/azure-synapse-analytics/
• Microsoft Video - Synapse Analytics - https://azure.microsoft.com/en-in/resources/videos/tour-synapse-analytics-01/
• Demo of Azure Synapse Analytics from Ignite 2019 - https://www.youtube.com/watch?v=xzxjpQSvDEA
• Microsoft Video - https://www.youtube.com/watch?v=ixJlsYc3Lwc
• Microsoft website - https://azure.microsoft.com/en-in/services/synapse-analytics/