PDW value proposition
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This document discusses Microsoft's SQL Server 2012 Parallel Data Warehouse (PDW) product. It provides an overview of Microsoft's end-to-end data platform and highlights key benefits of PDW such as speed, scale, and ease of administration. PDW addresses challenges with significant data growth, daily information availability, and analyzing new data types. The document also outlines Microsoft's value proposition including leverage of existing investments, low migration effort, and linear scalability. It shares examples of Microsoft PDW customers and new capabilities in the V2 appliance such as querying Hadoop data and improved performance.
PDW value proposition
- 1. Microsoft™ SQL Server 2012 Parallel Data Warehouse® Microsoft Value Proposition
- 2. Microsoft’s End-To-End Data Platform SELF-SERVICE INSIGHTS OPERATIONAL MOBILE DATA ENRICHMENT DISCOVER AND RECOMMEND TRANSFORM AND CLEAN SHARE AND GOVERN DATA MANAGEMENT 1 011 01 RELATIONAL NON-RELATIONAL MULTIDIMENSIONAL STREAMING MARKETPLACE PREDICTIVE External Data and Services REAL-TIME COLLABORATIV E
- 3. COMPELLING EVENTS FOR PDW Significant data growth Daily information available too late Analyzing new data types Poor query or report performance Current DWH is burden on infrastructure Current environment too expensive Parallel Data Warehouse PDW = Speed and Scale Right-time analytics Mixed workloads / high concurrency
- 4. Microsoft Value Proposition Single Point of Contact for Support Appliance Simplicity and ease of administration for DBAs and Sys Admin Leverage current investments and existing skillsets TIME TO VALUE: - Low Migration Effort - Low Risk Lack of Disruption of business processes Largest and Cheapest Ecosystem Expertise Fast Learning Curve Linear Scalability true MPP architecture: - Concurrency - Data Space (Up to 340 TB per Rack). Great price & performance Leverage Current Business Partnership and Drive Synergy 4
- 6. Microsoft™ SQL Server 2012 Parallel Data Warehouse® Microsoft PDW V2 Appliance
- 7. V2 Any data Use familiar T-SQL to query data in PDW and data in Hadoop natively 010101010101010101 1010101010101010 01010101010101 101010101010 Query “Big Data” in Hadoop without moving data into PDW
- 8. V2 Next generation performance Memory-Optimized Columnstore Index for 10-100x Single Query Data Compression Reducing Storage Costs and Data Scans By restructuring our warehouse with xVelocity, data loading and reporting are significantly faster. The large report that used to take 17 render now takes only 3 seconds. minutes to - Wolfgang Kutschera bwin.party Updateable Columnstore
- 10. V2 Management Simplicity System Center included in-the-box Get SQL Server 2012 Compatibility • SQL Server Management Tools • T-SQL language compatibility • SSIS 2012 Adapter Industry Standard Hardware Partners Limited Workload Management
- 11. V2 Lowest cost Lowest list price Lowest Compressed Price / Performance Lower Hardware Cost (Remove SAN)
- 12. Additional Resources » SQL Server Parallel Data Warehouse (PDW) Landing Page: www.microsoft.com/PDW » New PDW Whitepaper: http://msdn.microsoft.com/en-us/library/dn520808.aspx » Introduction to Polybase: http://www.microsoft.com/en-us/sqlserver/solutions-technologies/datawarehousing/polybase.aspx » Price/TB comparison: http://www.valueprism.com/resources/resources/Resources/PDW%20Compete%20Pricing%20FIN AL.pdf
Editor's Notes
- #3: This is our marchitecture slide that shows Microsoft’s End-to-End Data Platform. Data Management Layer: Today, IT faces new challenges, there is an entirely new scale and scope to the kinds of data users are trying to gain insights from across both relational and non-relational sources. This growth is coming from: 1) Transactional growth in your business. 2) New data sources – image files, sensors driven 3) Moving business online – entirely new channels, with different pace at which the business needs to operate. To address this, Microsoft’s data management layer will be built for both traditional relational formats but also unstructured and semi-structured data found in “Big Data” as well as multi-dimensional and streaming. Microsoft offers a comprehensive list of solutions that address this.Relational DW offerings: SQL Server 2012, SQL Server 2012 Fast Track, Parallel Data Warehouse, Dell QuickstartNon-relational offerings: HDInsight on Windows Azure, HDInsight on Windows ServerMulti-dimensional: Analysis ServicesStreaming: Stream InsightData Enrichment Layer: Once data is acquired, it requires enrichment to be able to discover and recommend, transform and clean, and share and govern. Discover and recommend: Today, it is hard enough to find the right dataset within an organization, let alone outside it. An Azure Lab, codenamed “Data Explorer”, enables customers to discover relevant datasets through automatic recommendations, e.g. if an analyst is building a customer segmentation model and can automatically recommend related datasets such as Dunn and Bradstreet with useful credit information. Another lab codenamed “Data Hub” enables an organization to create a private Data Market to facilitate discovery and sharing of data and analytical models. Transform and clean – Microsoft has traditionally offered data movement (ETL) tools found in Integration Services that date back many SQL editions. In SQL Server 2012, Microsoft also offers a revamped Master Data Services to give customers a central hub that ensures the integrity and consistency of data is constant across different applications . Brand new in SQL Server 2012 is Data Quality Services enable organizations to cleanse, match, standardize, and enrich data, so they can deliver trusted information for their warehouse.Insights Layer: More than just collecting data, a business analytics platform needs to provide insights to allow users make timely decisions. Microsoft uniquely ships major components of an integrated BI solution with our data warehousing offerings out-of-the-box. Overcoming the traditional BI challenges of low user adoption due to the complexity and costs, Microsoft SQL Server Data Warehousing also leverages Office and SharePoint to empower business users with familiar interfaces opening up complex data analysis to everyone. In Office 2013, Microsoft goes a step further by giving every end user the ability to visualize and analyze hundreds of millions of rows of data in-memory within the native Excel client (out-of-the-box).