Tech Talk SQL Server 2012 Business Intelligence


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Tech Talk SQL Server 2012 Business Intelligence

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  • Start by addressing islands of problems within the org – bottoms up approach (analogy Data Marts vs Data Warehouses)Enable data experts to create and modify their data in a controlled and secure wayEase Admins tasksSimple deploymentEasy to define and manage data models
  • Where do we want to take this product. Multi-release, multi-year vision for the productSometimes you want fast time to solution, sometimes you want complex calculations and huge scaleBISM is the name we give to Analysis Services that encompasses these goals
  • Tech Talk SQL Server 2012 Business Intelligence

    1. 1. Microsoft Business IntelligenceUpdate on SQL Server 2012
    2. 2. Agenda Preliminary Information Subject to Change
    3. 3. Evolution of BI Preliminary Information Subject to Change
    4. 4. Microsoft Business Intelligence Preliminary Information Subject to Change
    5. 5. Phases of Enterprise Information Management Project Barcelona* Integration Services Discover Origins & Market-leading ETL Relationships between and data integration artifacts tool Easy-start solution for Knowledge-based Data master and reference Cleansing & Matching data management Master Data Services Data Quality Services* Will be shipped separately from SQL Server 2012 and is subject to change Preliminary Information Subject to Change
    6. 6. Integrated Data Management Scenario Cleanse, Data Sources match DQS Acquire Discover SSIS Barcelona Curate MDS Publish Match, de- SSIS duplicate DQS Preliminary Information Subject to Change
    7. 7. Project BarcelonaMetadata Discovery
    8. 8. Project Barcelona Platform Architecture
    9. 9. Project Barcelona Key Features• No up front planning, • As more of the • New crawlers, UIs modeling, ongoing enterprise is crawled, added over time maintenance more and more • In-house customized dependencies are• Out of the box, just solutions uncovered starts working • Opportunity for partners • Crawlers shipped out of band
    10. 10. Why is Data Quality Important?Data quality problems cost U.S. businesses morethan $600 billion a year. Data Warehousing Institute (TDWI)Costs associated with bad data include: • Excess inventory • Higher supply chain costs • higher direct marketing costs • Billing • And more… Preliminary Information Subject to Change
    11. 11. Common Data Quality IssuesData Quality Issue Sample Data ProblemFormat Do values follow consistent formatting Telephone number formats: standards ? xxxxxxxxxx, (xxx) xxx-xxxx, etc.Standard Are data elements consistently defined and ‘Gender code’ = M, F, U understood ? ‘Gender code’ = 0, 1, 2Consistent Do values represent the same meaning ? How is revenue presented ? Dollars, Euro, Both?Complete Is all necessary data present ? 20% of customers’ last name is blank, 50% of zip-codes are 99999Accurate Does the data accurately represent reality or a A Supplier is listed as ‘Active’ but went out verifiable source? of business six years agoValid Do data values fall within acceptable ranges? Salary values should be between 60,000-120,000Duplicates Data appears several times Both John Ryan and Jack Ryan appear in the system – are they the same person? Preliminary Information Subject to Change
    12. 12. How to Manage Data Quality? People Technology Processes Preliminary Information Subject to Change
    13. 13. Make Data Quality Approachable to Everyone Preliminary Information Subject to Change
    14. 14. DQS Solution Concepts Knowledge-Driven Based on a Data Quality Knowledge Base (DQKB) that is reusable for a variety of data quality improvements Semantics Data is mapped into Data Domains, which capture its Semantics Knowledge Discovery Acquire additional knowledge through data samples and user feedback Open and Extendible Support use of user-generated knowledge and IP by 3rd party reference data providers Easy to Use Compelling user experience designed for increased productivity Preliminary Information Subject to Change
    15. 15. DQS Architecture OverviewDQS Clients DQS Cloud ServicesDQS Client DataMarket - Categorized Reference Data DQS Store - KB, Domains Knowledge Discovery and Management DQS Server 3rd Party Reference Interactive DQ Data Projects Reference Data API Reference Data API (Browse, Set, Validate…) (Browse, Get, Update…) DQS Engine Reference Cleansing Administration Data Knowledge Data Profiling Services Discovery Matching Reference Data ExplorationOther DQS Clients DQ Projects Store Common Knowledge Store SSIS DQS Cleansing ComponentFuture Clients: Excel, DQ Active PublishedSharePoint, Projects KBsMDS… Preliminary Information Subject to Change
    16. 16. dqs demo flow Create DQKB Knowledge Create DQS Discovery to Project create a domain Manage Domains Preliminary Information Subject to Change
    17. 17. What is Master Data? Preliminary Information Subject to Change
    18. 18. Data Solutions Data Warehouse / Operational Data Data Marts Mgmt Management Provides storage and Enables business users to Central data records mgmt management of the objects manage the dimensions and and consumption sourced by and metadata used as the hierarchies of DW / Data other operational systems application knowledge Marts • Object mappings • BI scenarios A company has adopted 6 “best of breed” systems from different • Reference Data / managed vendors. They need to be able to object lists propagate the correct customer information to each system in a • Metadata management / consistent way. data dictionary MDS provides a platform for central schema, integration points and validation for SI/ISV/Internal IT to develop a custom solution1 MDS focus Partners Value Add Preliminary Information Subject to Change
    19. 19. MDS Capabilities Validation Modeling Authoring business rules to ensure Entities, Attributes, Hierarchies data correctness Excel Add-In MDS Web UI Data Matching Role-based Security and Transaction Annotation Master Data Stewardship Versioning Enabling Integration & Sharing Loading batched data Registering to changes Consuming data Workflow / through Staging Tables through APIs through Views Notifications External Excel DWH (CRM, ..) Preliminary Information Subject to Change
    20. 20. Empowering IWs through Excel Add-in and improved Web UI Enhanced performance and scalability Improved quality (usability,Focus on Foundational robustness, security)PlatformV1 product
    21. 21. Empowering IW: MDS Excel Add-in Preliminary Information Subject to Change
    22. 22. mds demo flow Create MDS Model Create Create Entitys in subscription XLS views Explore/Update Publish data data updates in XLS Preliminary Information Subject to Change
    23. 23. Whats new in SQL Server 2012 Preliminary Information Subject to Change
    24. 24. Analysis Services: Tomorrow Build on the strengths Embrace the relational and success of Analysis data model – well Services and expand its understood by reach to a much developers and IT Pros broader user base Bring together the relational and Provide flexibility in the multidimensional platform to suit the models under a single diverse needs of BI unified BI platform – applications best of both worlds! Preliminary Information Subject to Change
    25. 25. BI Semantic Model: Architecture Reporting Third-party SharePoint Services & Power Excel applications PowerPivot Insights View Databases LOB Applications Files OData Feeds Cloud Services Preliminary Information Subject to Change
    26. 26. How Should I Build my Model? Depends on the application needs for each layer Data model Business logic Data access & storage Two Visual Studio (BIDS) project types in SQL Server 2012 Multidimensional project – with MDX and MOLAP/ROLAP Tabular project – with DAX and VertiPaq/DirectQuery Preliminary Information Subject to Change
    27. 27. SSAS: Multidimensional Model Improvements Multidimensional projects received over 300 improvements across the board for performance, supportability, reliability and functionality Almost 100 were reported directly by customers Major new features include: Visual Studio 2010 designers Removal of 4GB string store limit for attributes New events for monitoring lock usage and contentions New messages for tracking resources used per command New PowerShell support Preliminary Information Subject to Change
    28. 28. What’s New in PowerPivot for Excel Add-in Includes the same designer and the same features available to the IT Pro in the Tabular Project in BIDS, except: Table partitions Security roles Configuring Direct Query mode Note it is possible to restore a PowerPivot workbook on a tabular instance of Analysis Services and then create and manage table partitions Preliminary Information Subject to Change
    29. 29. What’s New in PowerPivot for Excel Add-in Preliminary Information Subject to Change
    30. 30. Excel’s PowerPivot ribbon tab includes the ability to create,edit and delete KPIsThe PowerPivot Field List has been updated to: Allow perspective selection Display hierarchies and KPIs Create a KPI based on a measureThe Measure Settings window, used to create and editmeasures, supports the configuration of formatting options Preliminary Information Subject to Change
    31. 31. SharePoint Server 2010 SP1 is a prerequisiteThe add-in has update to include: New administrative capabilities New setup experience Power View authoring from the PowerPivot Galley Preliminary Information Subject to Change
    32. 32. Whats new in Reporting Services Preliminary Information Subject to Change
    33. 33. New SSRS SharePoint Integration Benefits • •
    34. 34. Data Alert Workflow Create Alert Delivery Email Alert Management Preliminary Information Subject to Change
    35. 35. Office Open XML Rendering Extensions
    36. 36. What is Power View Power View is an interactive data exploration and visual presentation experience.
    37. 37. SQL Server 2012 Power View Highly Visual Design Experience • Interactive, web-based authoring and sharing of information • Familiar Microsoft Office design patterns • Powerful data layout with banding, callout and small multiples visualizations Rich metadata-driven interactivity• Fully integrated with PowerPivot• Drive greater insight through smart and powerful querying• Zero configuration highlighting and filtering• Animated trending and comparisons Presentation-ready at all times • Interactive Presentation turns pervasive information into persuasive information • Deliver and collaborate through SharePoint • Full screen presentation mode for interactive boardroom session Preliminary Information Subject to Change
    38. 38. Power View Architecture SharePoint Farm SQL Server BIDS Web Front End App Server BISM Model RS Shared SSRS ServicePower View client Addin for SharePoint AS PowerPivot Server System Tabular PowerPivot Service Web Service Analysis Services SP IntegratedExcel PowerPivot Model Data sources Preliminary Information Subject to Change
    39. 39. © 2011 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.