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Information managers are seeking innovative DBMS’s which are able to handle large data volumes in new ways or to optimize existing products and processes.

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Presentation on theme: "Information managers are seeking innovative DBMS’s which are able to handle large data volumes in new ways or to optimize existing products and processes."— Presentation transcript:

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3 Information managers are seeking innovative DBMS’s which are able to handle large data volumes in new ways or to optimize existing products and processes.

4 Azure SQL Data Warehouse A relational data warehouse-as-a-service, fully managed by Microsoft. Industries first elastic cloud data warehouse with proven SQL Server capabilities. Support your smallest to your largest data storage needs. Saas Azure Public Cloud Office 365 Azure

5 Under the hood of Azure SQL Data Warehouse

6 Azure SQL Data Warehouse Architecture Control Node Compute Node Compute Node Compute Node Compute Node SQL DB Blob storage [WASB(S)] Compute Scale compute up or down when required (SLA <= 60 seconds). Pause, Resume, Stop, Start. Storage Add\Load data to WASB(S) without incurring compute costs Massively Parallel Processing (MPP) Engine Azure Infrastructure and Storage 100 DWU 2000 DWU Storage and Compute are de-coupled, enabling a true elastic service and separate charging for both compute and storage Application or User connection HDInsight Data Loading (SSIS, REST, OLE, ADO, ODBC, WebHDFS, AZCopy, PS) DMS DMS (Data Movement Service) executes across all database nodes

7 Azure SQL Data Warehouse – Control Node Control Node SQL DB Compute Node Compute Node Compute Node Compute Node SQL DB Blob storage [WASB(S)] Massively Parallel Processing (MPP) Engine HDInsight Control Node SQL DB Endpoint for connections Regular SQL endpoint (TCP 1433) Persists no user data (metadata only) Coordinates compute activity using MPP

8 Azure SQL Data Warehouse - Compute Nodes Control Node SQL DB Compute Node Compute Node Compute Node Compute Node SQL DB Blob storage [WASB(S)] Massively Parallel Processing (MPP) Engine HDInsight Compute Node(s) Azure SQL Database SQL DB An increase of DWU will increase the number of compute nodes

9 Azure SQL Data Warehouse – Blob storage Control Node SQL DB Compute Node Compute Node Compute Node Compute Node SQL DB Blob storage [WASB(S)] Massively Parallel Processing (MPP) Engine HDInsight RA-GRS storage +PB’s of storage Ingest data without incurring compute costs

10 Demo 1 Creating a new Azure SQL Data Warehouse

11 Enabling the data-driven landscape

12 Demo 2 Elastic scale and pause

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14 Demo 3 IoT - Vehicle telemetry

15 Azure SQL Data Warehouse

16 Historical Transaction Data Azure SQL Data Warehouse Trend Analysis Transaction Detail Distribution Management Intrusion Analysis Reference data

17 Historical Sales Data Azure SQL Data Warehouse P&L Analysis Product trending Market & Gap Analysis Competitor impact

18 Data Sources Azure SQL Data Warehouse Reduce customer turnover What’s hot and what’s not Loyalty & Perception Scenario Simulations Data Sources

19 New Asset Data Known Device Data Location External Data …..

20 Data/ Workload Azure Machine Learning Analysis Services (MOLAP) IaaS Azure SQL Data Warehouse PaaS Other Azure components Hadoop Azure Blob Storage Supports data ingestion from literally anywhere… Azure Data Factory

21 Demo 4 Integrated with PowerBI

22 Please follow http://aka.ms/SQLDW to learn more http://aka.ms/SQLDW

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24 Azure SQL Data Warehouse Enabling the era of modern data warehousing

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27 Built on Azure.

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