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Microsoft Data Warehouse Vision Massive Scalability at Low Cost Improved Business Agility and Alignment Democratized Business Intelligence Hardware.

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Presentation on theme: "Microsoft Data Warehouse Vision Massive Scalability at Low Cost Improved Business Agility and Alignment Democratized Business Intelligence Hardware."— Presentation transcript:

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4 Microsoft Data Warehouse Vision Massive Scalability at Low Cost Improved Business Agility and Alignment Democratized Business Intelligence Hardware Choice Make SQL Server the gold standard for data warehousing offering customers

5 TodayIn 3 Years Less than 500 GB 500 GB – 1 TB 1 – 3 TB 3 – 10 TB More than 10 TB Don’t Know 21%21% 5%5% 20%20% 12%12% 21%21% 18%18% 19%19% 25%25% 17%17% 34%34% 2%2% 6%6% Approximate data volume managed by data warehouse Source: TDWI Report – Next Generation DW

6 Budget reduced Hiring frozen Approved projects on hold Priorities shift to short-term gains No impact so far 57%57% 41%41% 30%30% 31%31% 27%27% Effect of current recession on DW teams and projects New tool and platform acquisitions frozen 25%25% Some team members laid off 19%19% Focus shifted from new dev to admin of old solutions 18%18% Other 3%3% Source: TDWI Report – Next Generation DW

7 Have TodayWould Prefer Symmetrical Multiprocessing (SMP) Massively Parallel Processing (MPP) Other 61%61% 27%27% 33%33% 68%68% 6%6% 5%5% DW Processing Architectures Source: TDWI Report – Next Generation DW

8 TodayIn 3 years Mixed Workloads 46%46% 72%72% Techniques used in primary data warehouse solution Advanced Analytics (e.g. data mining/predictive) 38%38% 85%85% Source: TDWI Report – Next Generation DW

9 Plan to Use Anticipated Growth in the next 3 Years 0% 25% 50% 75% 100% -50%-25%0%25%50%75%100% Decreasing UsageIncreasing Usage Narrow Commitment Broad Commitment Data Warehouse Industry Trends DBMS Built for Transactions SMP Centralized EDW Analytics within EDW Analytics Outside EDW Blades in Racks DBMS Built for DW Server Virtualization DW Bundles Security DW Appliance Mixed Workloads Data Federation Columnar DBMS Streaming Data SOA Low-Power Hardware In-Memory DBMS SaaS Open Source OS Open Source Reporting Data Integration Software Appliance Public Cloud Open Source DBMS Advanced Analytics Data Quality HA for DW Web Services MPP 64-bitMDM Real-time DW Source: TDWI Declining usage despite commitment Flat growth, good/ moderate commitment Good growth, good commitment Good growth, moderate commitment Good growth, small commitment Areas of strategic investment for Microsoft

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11 Parallel Data Warehouse compute node Database Server Storage Node

12 Parallel Data Warehouse Appliance - Hardware Architecture Database Servers Dual Infiniband Control Nodes Active / Passive Landing Zone Backup Node Storage Nodes Spare Database Server Dual Fiber Channel Management Servers Client Drivers ETL Load Interface Corporate Backup Solution Data Center Monitoring Corporate Network Private Network

13 Parallel Data Warehouse demo at BI conference 2008 Query −Cache flushed −Inner joins Sample Results 625K rows returned in 11 seconds from 1 trillion row table Final product will be even faster Report Retailer: day-part analysis Sales, Time, Date, Prod type

14 ExistingEnvironment Hardware 16 CPU HP 8620 Itanium Hitachi Storage 27TB Raw SATA 21 LUNS Software Windows 2003 SP2 SQLServer 2008 SSIS/SSRS Data Warehouse 18 Terabytes Star Schema 80 Fact Tables Dimensions CurrentChallenges Data Load Speeds Analytic Capacity Analytic Speed Mixed Workload Total Cost of OwnershipMadisonHighlights Improved by 300% 30TB/160 Cores Query Speeds 70X Improvement Concurrency Mixed Workload TCO Lowered by 50%

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16 Preliminary Information Subject to Change

17 2008Beyond Microsoft Announce Intention to Acquire DATAllegro (July) Acquisition Closes (Sept) 150TB demo of DATAllegro on SQL Server run at BI Conference (Oct) PDW vNext Focus on continually lowering the costs of high end DW, while increasing performance Additional Hardware Partners Closer functional alignment with SQL Server Better integration with SQL and tools and technologies ? ? MTP Program Launched Circa 10 Customers Provided with early Madison Benchmark Madison Named as SQL Server 2008 R2 Parallel Data Warehouse List Price at $57.5K per proc MTP 2 Program to Launch (fully functional, fully performant) TAP Program (on client site) RTM in Summer 2010 Compatibility with DATAllegro v3 MS BI integration Project “Madison” Preliminary Information Subject to Change

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19 Hub and Spoke – Flexible Business Alignment EDW provides “single version of truth” but makes it difficult to support mixed workloads and multiple user groups, each requiring SLAs

20 Hub and Spoke – Flexible Business Alignment Departmental data marts enable mixed workloads, but make it difficult to consolidate information across the enterprise

21 Hub and Spoke – Flexible Business Alignment A Hub and Spoke solution gives you the flexibility to add/change diverse workloads/user groups, while maintaining data consistency across the enterprise Parallel database copy technology enables rapid data movement and consistency between hub and spokes Create SQL Server 2008, Fast Track Data Warehouse, and SQL Server Analysis Services spokes Support user groups with very different SLAs: Performance Capacity Loading Concurrency

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29 © 2009 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

30 Customer Challenges Increased volumes of data Need to reduce costs Increased adoption of DW appliances Move to MPP Demand for flexibility and mixed workloads across the enterprise Desire for real-time analytics Growing importance of data quality 30 TodayIn 3 Years Less than 500 GB 500 GB – 1 TB 1 – 3 TB 3 – 10 TB More than 10 TB Don’t Know 21%21% 5%5% 20%20% 12%12% 21%21% 18%18% 19%19% 25%25% 17%17% 34%34% 2%2% 6%6% Approximate data volume managed by data warehouse Budget reduced Hiring frozen Approved projects on hold Priorities shift to short-term gains No impact so far 57%57% 41%41% 30%30% 31%31% 27%27% Effect of current recession on DW teams and projects New tool and platform acquisitions frozen 25%25% Some team members laid off 19%19% Focus shifted from new dev to admin of old solutions 18%18% Other 3%3% Have TodayWould Prefer Symmetrical Multiprocessing (SMP) Massively Parallel Processing (MPP) Other 61%61% 27%27% 33%33% 68%68% 6%6% 5%5% DW Processing Architectures TodayIn 3 years Data Warehouse Appliance 53%53% 78%78% Technologies used in primary data warehouse solution TodayIn 3 years Mixed Workloads 46%46% 72%72% Techniques used in primary data warehouse solution Advanced Analytics (e.g. data mining/predictive) 38%38% 85%85% TodayIn 3 years Real-time data warehousing 17%17% 92%92% Techniques used in primary data warehouse solution TodayIn 3 years Data Quality Tool 42%42% 82%82% Technologies used in primary data warehouse solution Source: TDWI

31 Parallel Data Warehouse compute node – Dell / EMC Database Server Storage Node

32 PDW Appliance Hardware Architecture – Dell / EMC Database Servers Dual Infiniband Control Nodes Active / Passive Landing Zone Backup Node Storage Nodes Spare Database Server Dual Fiber Channel Management Servers Client Drivers ETL Load Interface Corporate Backup Solution Data Center Monitoring Corporate Network Private Network

33 © 2009 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

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