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http://www.sqlmag.com/blog/sql-server-bi-blog-17

mkromer@microsoft.com
Business
Intelligence
A Brief History of SQL Server
QUESTION #1
ORGANIZATIONAL
     REQUIRED 9s & DATA                             BLAZING-FAST
                                                                                    COMPLIANCE & PEACE OF
        PROTECTION                                  PERFORMANCE
                                                                                           MIND



         A        A        A




Greater flexibility and availability with   Column-based query accelerator for   User-defined server roles for better
SQL Server AlwaysOn                         dramatic performance gains           separation of duties & Audit support
                                                                                 across editions
Maximized hardware resources                Faster performance for FILESTREAM,
                                            spatial & FTS                        SharePoint & Active Directory integration
Support for Windows Server Core to                                               for secure BI data
reduce planned downtime
                                                                                 Simplified application testing with
                                                                                 Distributed Replay and streamlined
                                                                                 troubleshooting with Extended Events
1The   percentage reduction in patching varies & can be less based on the server roles that are enabled & the type of patches that are applied.
Multi-site Failover Cluster Instance   •   Shared Storage solution
                                       •   Instance Level HA
(FCI)                                  •   Instance Level DR
for HA & DR                            •   Doesn’t require database to be in FULL recovery model
                                       •   Non-Shared Storage solution
                                       •   (Group of) Database Level HA
Availability Group
                                       •   (Group of) Database Level DR
for HA & DR                            •   DR replica can be Active Secondary
                                       •   Requires database to be in FULL recovery model
                                       •   Combined Shared Storage and Non-Shared Storage
                                       •   Instance Level HA
Failover Cluster Instance for local
                                       •   (Group of) Database Level DR
HA & Availability Group for DR         •   DR replica can be Active Secondary
                                       •   Requires database to be in FULL recovery model
AlwaysOn
Helping enable global HA, through greater uptime and manageability
Blazing-Fast Performance



“400 percent
improvement in
performance
                                                   First American Title
                                                  Insurance Company




                                                                        Now, up to   10x   Faster³
                                                                                     ColumnStore
 ¹Source: Microsoft customer evidence, Choice Hotels International
 ²Source: Microsoft customer evidence, KAS Bank
 ³Source: Microsoft customer testing; common data warehousing queries
ProductKey        SalesAmount

           OrderDateKey
                                           OrderDateKey   ProductKey   SalesAmount
                                           20101107       106          30.00
                                           20101107
                                                          103
StoreKey         RegionKey      Quantity                               17.00
                                           20101107
01               1              6                         109
                                           20101107                    20.00
                 2              1                         103
04                                         20101107
                                                                       17.00
                 2              2                         106
04                                         20101108
                 2                                                     20.00
                                1                         106
03
                 3                         OrderDateKey                25.00
                                4
05               1                         20101108       ProductKey
                                5
02                                         20101108                    SalesAmount
                                                          102
                 RegionKey
                                Quantity   20101108
                                                          106          14.00
StoreKey         1
                                1          20101109
                                                          109          25.00
02               2
                                5          20101109
03               1
                                                          106          10.00
                                           20101109
                                1                         106
01               2                                                     20.00
                                4                         103
                 2
04                                                                     25.00
                 1
                                5
04                              1
                                                                       17.00
01
13




                          Batch object

                          Column vectors




List of qualifying rows
DBA Productivity Enhancement


Point in Time Recovery Using New Timeline
16
QUESTION #2
QUESTION #3
Developer
Experience
Build in a Productive Development Environment
SQL Server Data Tools (SSDT)

     Integrated                environment

     Target
                                             Ease database migrations with improved support
              across server, BI & cloud      for
•
•




•
•
QUESTION #4
Business
Intelligence
Rapid Data Exploration and Visualization


  “Only 28% of potential
  users are using the standard
  BI platform of choice in
  organizations¹”




      Mashup data,               Stunning, interactive   Familiar tools built on
      PowerPivot                 data visualizations,           Excel &
                                    Power View                SharePoint
Managed Self-Service BI


                                                   “We can balance our
                                              employees’ need for rich
                                        information and collaboration
                                          with IT’s need to manage the
                                             safety & confidentiality of
                                                           information.”

                                                  CareGroup Healthcare System




        Gain                End user          Single
      insight                created,      administration
    & oversight           IT managed     from SharePoint
                                                                          28
And Big Data Analytics & Data Warehousing


                                                                             >24TB
     “Parallel Data Warehouse runs complex
     queries about 160 times faster, providing
     a data load over 1 Tb/Hour and fully                                        ANALYTICAL SOLUTIONS¹



                                                                             >600TB
     integrates into a complete BI Solution”


                                                                             DATA WAREHOUSES W/ TRUE MPP²
                                 —DirectEdge, US Stock Exchange




               Structured                                         Massive Scale, Low        Complete
             UNSTRUCTURED,                                              Cost               BI SOLUTION
               & real-time
¹Source: Microsoft customer evidence, Yahoo
²Source: Microsoft testing
Credible, Consistent Data

                                                     Companies with accurate data perform better¹
                                                         % of master data complete &                                    Hrs spent per employee each week
                                                         accurate                                                       searching for info

         Top 20%
         Performers
                                                                                                             91%                   1.2hrs

         Middle 50%
         Performers
                                                                                                      68%                          2.8hrs

         Bottom 30%
         Performers
                                                                                Under 50%                                          6hrs



                                                                                                  Data             Master              Single BI
                                                                                                  Quality          Data                   Semantic
                                                                                                  Services         Services                 Model
¹Source: “Turning Pain into Productivity with Master Data Management,” Aberdeen Group, Feb 2011
•
•
•

•
•
    •
    •
•
        Master Data
    •
         Services
    •
•
Big Data, Unlocked for Deep Insights
Business Insights to all users from structured or unstructured data
     Velocity                                       Volume
                                                                            Big Data is defined by
                                                                                         Cheaper storage & new sources
                            Data
                                                                                         80% non-relational
                                                                                         Real-time analytics needed
                                                                                            Challenging to analyze
    Variety                                        Variability


Microsoft partnering with Hortonworks for an Apache Hadoop™ based distribution            Two Hadoop connectors for SQL Server and Parallel
for Windows Server and Windows Azure                                                      Data Warehouse now available included with SQL Server

•   Broader access of Hadoop to end users, IT professionals and Developers                Hadoop based distribution on Windows Server and
                                                                                          Windows Azure currently in CTP
•   Enterprise-ready Hadoop distribution with greater security, performance and
    ease of management

•   Breakthrough insights with the use of familiar tools such as PowerPivot for Excel,
    SSAS and SSRS
QUESTION #5
SCALE ON DEMAND &               EXTEND DATA ANYWHERE                   OPTIMIZED PRODUCTIVITY
           FAST TIME
         TO SOLUTION




Roadmaps for SQL Server appliances   DAC parity across Denali and SQL       Single database application
and reference architectures          Azure to seamless extend new           development experience with Microsoft
                                     applications                           Project “Juneau”
Common architecture across server,
appliances and cloud                 FileTable for increased data storage   Streamline virtualization management
                                     flexibility                            with System Center Virtual Machine
                                                                            Manager
                                     Greater interoperability and support
                                     for web applications
Cloud on your terms
                                                                       Hybrid IT
                         Traditional                         Private                               Public
                         NON-VIRTUALIZED                     CLOUD                                 CLOUD

  WHY SQL SERVER 2012
        FOR HYBRID IT           Common >                  • Active Directory® • Common Development Tools
                                                                     • Common Management Tools

                          FLEXIBILITY & CHOICE                SCALE ON DEMAND                       ANY DATA, ANY SIZE

                        • Build and extend applications     • AlwaysOn & SLA-driven               • Any type of data - unstructured
                          quickly                             availability                          | structured | complex
                        • Move apps seamlessly on-          • Scale up on-premises                • Integrate 3rd party data and
                          premise to cloud                  • Scale out quickly with self-built     activate new data
                        • License mobility                    private clouds, appliances and      • Monetize your data
                                                              SQL Azure
SQL Azure Federations




                                          Single tenant per database
          Multiple-tenants per database                                Multiple databases per tenant
SQL Azure Federation Concepts
   Federation
                                                                                                   Azure DB with Federation Root
        Represents the data being sharded
   Federation Root
                                                                                           Federation Directories, Federation Users, Federation
        Database that logically houses federations, contains federation
        meta data                                                                          Distributions, …
   Federation Key
        Value that determines the routing of a piece of data (defines a
        Federation Distribution)
   Federation Member (aka Shard)
                                                                                                   Federation “Orders_Fed”
        A physical container for a set of federated tables for a specific                         (Federation Key: CustomerID)
        key range and reference tables
   Federated Table                                                                                        Member: PK [min, 100)
        Table that contains only atomic units for the member’s key
        range                                                                                     AU                AU               AU
   Reference Table (DDR)                                                                        PK=5              PK=25            PK=35
        Non-sharded table
   Atomic Unit
        All rows with the same federation                                                                   Member: PK [100, 488)




                                                                      Connection Gateway
        key value: always together!
                                                                                                    AU                AU              AU
                                                                                                  PK=105            PK=235          PK=365



                                                                                                           Member: PK [488, max)

                                                                                                    AU               AU               AU
                                           Sharded                                                PK=555           PK=2545          PK=3565

                                          Application                                                                      40
Extend anywhere

 Extend any data                                    End user analytics




On Premises & Private cloud                         Public Cloud
                              Common Architecture
QUESTION #6
QUESTION #7
What's new in SQL Server 2012 for philly code camp 2012.1

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What's new in SQL Server 2012 for philly code camp 2012.1

  • 1.
  • 4. A Brief History of SQL Server
  • 6.
  • 7. ORGANIZATIONAL REQUIRED 9s & DATA BLAZING-FAST COMPLIANCE & PEACE OF PROTECTION PERFORMANCE MIND A A A Greater flexibility and availability with Column-based query accelerator for User-defined server roles for better SQL Server AlwaysOn dramatic performance gains separation of duties & Audit support across editions Maximized hardware resources Faster performance for FILESTREAM, spatial & FTS SharePoint & Active Directory integration Support for Windows Server Core to for secure BI data reduce planned downtime Simplified application testing with Distributed Replay and streamlined troubleshooting with Extended Events
  • 8. 1The percentage reduction in patching varies & can be less based on the server roles that are enabled & the type of patches that are applied.
  • 9. Multi-site Failover Cluster Instance • Shared Storage solution • Instance Level HA (FCI) • Instance Level DR for HA & DR • Doesn’t require database to be in FULL recovery model • Non-Shared Storage solution • (Group of) Database Level HA Availability Group • (Group of) Database Level DR for HA & DR • DR replica can be Active Secondary • Requires database to be in FULL recovery model • Combined Shared Storage and Non-Shared Storage • Instance Level HA Failover Cluster Instance for local • (Group of) Database Level DR HA & Availability Group for DR • DR replica can be Active Secondary • Requires database to be in FULL recovery model
  • 10. AlwaysOn Helping enable global HA, through greater uptime and manageability
  • 11. Blazing-Fast Performance “400 percent improvement in performance First American Title Insurance Company Now, up to 10x Faster³ ColumnStore ¹Source: Microsoft customer evidence, Choice Hotels International ²Source: Microsoft customer evidence, KAS Bank ³Source: Microsoft customer testing; common data warehousing queries
  • 12. ProductKey SalesAmount OrderDateKey OrderDateKey ProductKey SalesAmount 20101107 106 30.00 20101107 103 StoreKey RegionKey Quantity 17.00 20101107 01 1 6 109 20101107 20.00 2 1 103 04 20101107 17.00 2 2 106 04 20101108 2 20.00 1 106 03 3 OrderDateKey 25.00 4 05 1 20101108 ProductKey 5 02 20101108 SalesAmount 102 RegionKey Quantity 20101108 106 14.00 StoreKey 1 1 20101109 109 25.00 02 2 5 20101109 03 1 106 10.00 20101109 1 106 01 2 20.00 4 103 2 04 25.00 1 5 04 1 17.00 01
  • 13. 13 Batch object Column vectors List of qualifying rows
  • 14. DBA Productivity Enhancement Point in Time Recovery Using New Timeline
  • 15.
  • 16. 16
  • 20. Build in a Productive Development Environment SQL Server Data Tools (SSDT) Integrated environment Target Ease database migrations with improved support across server, BI & cloud for
  • 22.
  • 23.
  • 24.
  • 27. Rapid Data Exploration and Visualization “Only 28% of potential users are using the standard BI platform of choice in organizations¹” Mashup data, Stunning, interactive Familiar tools built on PowerPivot data visualizations, Excel & Power View SharePoint
  • 28. Managed Self-Service BI “We can balance our employees’ need for rich information and collaboration with IT’s need to manage the safety & confidentiality of information.” CareGroup Healthcare System Gain End user Single insight created, administration & oversight IT managed from SharePoint 28
  • 29. And Big Data Analytics & Data Warehousing >24TB “Parallel Data Warehouse runs complex queries about 160 times faster, providing a data load over 1 Tb/Hour and fully ANALYTICAL SOLUTIONS¹ >600TB integrates into a complete BI Solution” DATA WAREHOUSES W/ TRUE MPP² —DirectEdge, US Stock Exchange Structured Massive Scale, Low Complete UNSTRUCTURED, Cost BI SOLUTION & real-time ¹Source: Microsoft customer evidence, Yahoo ²Source: Microsoft testing
  • 30. Credible, Consistent Data Companies with accurate data perform better¹ % of master data complete & Hrs spent per employee each week accurate searching for info Top 20% Performers 91% 1.2hrs Middle 50% Performers 68% 2.8hrs Bottom 30% Performers Under 50% 6hrs Data Master Single BI Quality Data Semantic Services Services Model ¹Source: “Turning Pain into Productivity with Master Data Management,” Aberdeen Group, Feb 2011
  • 32. • • • Master Data • Services • •
  • 33. Big Data, Unlocked for Deep Insights Business Insights to all users from structured or unstructured data Velocity Volume Big Data is defined by Cheaper storage & new sources Data 80% non-relational Real-time analytics needed Challenging to analyze Variety Variability Microsoft partnering with Hortonworks for an Apache Hadoop™ based distribution Two Hadoop connectors for SQL Server and Parallel for Windows Server and Windows Azure Data Warehouse now available included with SQL Server • Broader access of Hadoop to end users, IT professionals and Developers Hadoop based distribution on Windows Server and Windows Azure currently in CTP • Enterprise-ready Hadoop distribution with greater security, performance and ease of management • Breakthrough insights with the use of familiar tools such as PowerPivot for Excel, SSAS and SSRS
  • 34.
  • 36.
  • 37. SCALE ON DEMAND & EXTEND DATA ANYWHERE OPTIMIZED PRODUCTIVITY FAST TIME TO SOLUTION Roadmaps for SQL Server appliances DAC parity across Denali and SQL Single database application and reference architectures Azure to seamless extend new development experience with Microsoft applications Project “Juneau” Common architecture across server, appliances and cloud FileTable for increased data storage Streamline virtualization management flexibility with System Center Virtual Machine Manager Greater interoperability and support for web applications
  • 38. Cloud on your terms Hybrid IT Traditional Private Public NON-VIRTUALIZED CLOUD CLOUD WHY SQL SERVER 2012 FOR HYBRID IT Common > • Active Directory® • Common Development Tools • Common Management Tools FLEXIBILITY & CHOICE SCALE ON DEMAND ANY DATA, ANY SIZE • Build and extend applications • AlwaysOn & SLA-driven • Any type of data - unstructured quickly availability | structured | complex • Move apps seamlessly on- • Scale up on-premises • Integrate 3rd party data and premise to cloud • Scale out quickly with self-built activate new data • License mobility private clouds, appliances and • Monetize your data SQL Azure
  • 39. SQL Azure Federations Single tenant per database Multiple-tenants per database Multiple databases per tenant
  • 40. SQL Azure Federation Concepts  Federation Azure DB with Federation Root Represents the data being sharded  Federation Root Federation Directories, Federation Users, Federation Database that logically houses federations, contains federation meta data Distributions, …  Federation Key Value that determines the routing of a piece of data (defines a Federation Distribution)  Federation Member (aka Shard) Federation “Orders_Fed” A physical container for a set of federated tables for a specific (Federation Key: CustomerID) key range and reference tables  Federated Table Member: PK [min, 100) Table that contains only atomic units for the member’s key range AU AU AU  Reference Table (DDR) PK=5 PK=25 PK=35 Non-sharded table  Atomic Unit All rows with the same federation Member: PK [100, 488) Connection Gateway key value: always together! AU AU AU PK=105 PK=235 PK=365 Member: PK [488, max) AU AU AU Sharded PK=555 PK=2545 PK=3565 Application 40
  • 41. Extend anywhere Extend any data End user analytics On Premises & Private cloud Public Cloud Common Architecture

Hinweis der Redaktion

  1. Mission-Critical Platform: With globalization and an exploding number of business-critical and mission-critical apps, maximum uptime, data availability, and performance are simply expected. Required UptimeSQL Server “Denali” builds on a solid foundation by delivering a new flexible and efficient high availability solution, AlwaysOn, that helps customers gain the required uptime and data protection without wasting time and money. Additionally, customers can eliminate idle hardware and improve IT cost efficiency and performance using Active Secondary which enables offloading of various workloads to the secondary instances. Meanwhile, planned downtime related to OS patching is significantly reduced by up to 50-60% with support for Windows Server CoreBlazing-fast PerformanceSQL Server continues to deliver breakthrough, predictable performance. In addition to impressive compression capabilities and proactive workload governing, new column store index deliver impressive performance gains across massive amounts of data for engine queries. Meanwhile, customers can dramatically boost scale with up to 15K partitions per table to support large sliding window scenarios. And major improvements to Full-Text Search deliver support for blazing fast queries and serious scale.Organizational complianceAdditionally, SQL Server continues to wow customers with enterprise-ready security capabilities and controls that enable organizations to meet strict compliance policies and regulations. New in Denali, customers can easily manage permissions around data access with User-Defined Server Roles to support separation of duties. Additionally, customers can control database access to deployed applications while improving manageability through Contained Database Authentication that uses self-contained access information without the need for server logins. With adoption for end user analytics enabling more collaboration around insights, Denali helps ensure only the right users have visibility into the right data with SharePoint & Active Directory integration.
  2. This table provides more detailed look at the SQL Server 2012 Editions and related capabilities. As you can see, for Standard Edition, there is a 16 core maximum. For Business Intelligence Edition, there is a 20 core maximum for database use and up to the OS Max for BI. Enterprise Edition can be used up the maximum number of cores in the operating system.Both BI Edition and Enterprise Edition offer the full premium BI capabilities of SQL Server 2012, including Enterprise Data Management, Self-Server BI, and Corporate BI features. Enterprise Edition adds mission critical and Tier 1 database functionality with the maximum scalability, performance and high availability. With Enterprise Edition under Software Assurance, customers also get unlimited virtualization, with the ability to license unlimited virtual machines.
  3. Licensing options for SQL Server 2012 EditionsWith SQL Server 2012, Microsoft is evolving its licensing to align with how our customers purchase and use database and business intelligence software. This table provides an overview of how each SQL Server 2012 Edition will be licensed:Enterprise Edition will be available exclusively through processing capacity-based licensing, which will now be measured using cores, not processors. This licensing model aligns pricing to processing power,enabling customers to pay for the power they need.Business Intelligence Edition will be available exclusively through Server+CAL licensing. With this edition, we are able to offer the full BI functionality of SQL Server 2012 through user-based or device-based licensing, which is consistent with the way most customers want to purchase BI solutions.Standard Edition will be available through both Server+CAL and core-based licensing. This edition offers flexible licensing options for a wide range of customers with a variety of business needs.
  4. Slide ObjectiveSQL Server “Denali” provides:Better tools to understand what is happening with your serverTools to test hardware under load before putting it into productionSpeaker ScriptSQL Server “Denali” also adopting Event Tracing for Windows (ETW) for logging. This enables rich logging integrated with Microsoft Windows®. You can filter on events and examine the additional data in extended events to understand even more about what is happening on your server.Finally, another recurring issue has been the need to test hardware for capacity before putting it into production. Before, this required an additional tool. With “Denali,” you can use distributed replay to simulate multiple client computers accessing your server—helping to make sure that it will perform under load.
  5. Framing
  6. Slide ObjectiveData Quality Services (DQS) can help you reach “Credible, Consistent Data”.Speaker ScriptData Quality Services (DQS) provides knowledge-driven tools customers can use to create and maintain a Data Quality Knowledge Base which helps improve data quality and ease data management.  Specifically, customers can gain confidence in data quality by using organizational knowledge to profile, cleanse, and match data.  Data Quality Services can be run as a standalone tool or integrated with Integration Services (SSIS).  For SQL Server code-named “Denali”, customers will be able to access the Windows Azure Marketplace DataMarket as a source of 3rd party data to help validate and cleanse data in a data quality project.
  7. Slide ObjectiveMaster Data Services (MDS) improves access to master data and lowers the barriers to starting a Master Data Management InitiativeLoading data into Master Data Services (MDS) has become easier with both the MDS Add-in for Excel and the new Entity Based Staging. Previously you had to load members and attributes in separate batches. MDS Add-in provides Excel-based access to data—letting the people who best know the data be the ones to correct it. Additionally the Explorer and Integration Management functional areas of the Master Data Manager Web application have been updated with a new Silverlight® look and feel. You can now add and delete members more quickly, as well as move members in a hierarchy more easily. You can now load all members and attribute values for an entity at one time. There are also improvements to installation so you can now install Master Data Services while you’re installing SQL Server instead of using a separate installer, as was required in the previous release.
  8. Cloud On Your Terms:Pressure on organizations to respond quickly, maximize resources, and manage increasing numbers of workloads continues to grow. The next wave of SQL Server investments will offer organizations the flexibility to quickly create and scale solutions that fuel business opportunity and solve challenges across on-premises and public cloud. Of the major database vendors, Microsoft is the only vendor with a long-standing history of on-premises and broad-scale public cloud offerings (Hotmail), making it the right choice for organizations looking to mix or merge old and new.Fast time to solutionThe next wave of SQL Server investments will allow organizations to offload IT tasks and gain faster time to solution and scale on demand with appliances and private or public cloud self-service provisioning options. SQL Server will allow customers to break free and scale beyond the constraints of any one deployment environment by taking advantage of a common architecture spanning traditional servers, appliances and the cloudExtend data anywhereMeanwhile, growing data volumes offer hidden potential for organizations eager to create new opportunities and solve business problems. FileTable builds on FILESTREAM to bring Win32 namespace support and application compatibility to the file data stored in SQL Server and helps remove the issues caused by maintaining two disparate systems and keeping them in sync. Additionally, interoperability drivers enable connectivity for Tier-1 scenarios for Java apps, Linux/Unix, and PHP. Enhancements to the DAC (Data-Tier Application component introduced in R2), enable parity across Denali and SQL Azure to more easily deploy, import, and export DACs more easily across on-premises and public cloud.Optimized ProductivityMeanwhile, Denali will continue to help organizations realize a lower cost of IT administration through a highly productive platform. Server, BI, and cloud operations are linked together with common familiar tools that offer optimized productivity across form factors. This built-in interoperability removes the need for you to lock-in a single approach – you want to virtualize today then move to a public cloud tomorrow? No problem, developers can build once and then deploy and manage where ever. Take database development to the next level with Microsoft Project “Juneau”, an integrated development experience for developers building next-generation web, enterprise and data-aware mobile applications across on-premises and public cloud. Additionally, SQL Server Management Studio continues to deliver centralized productivity enhancements. Distributed Replay will enable IT to simplify application testing and minimize errors with application changes, configuration changes, and upgrades.
  9. Slide Objective:Illustrate SQL Server ecosystem, customers can extend beyond the databaseScript:As we think about customer challenges, Microsoft sees a tremendous opportunity for customers to modernize their IT infrastructure to harness the exploding volumes of data, maximize IT resources, and leverage emerging and evolving technologies in the most meaningful way. Ultimately we want to help customers leap into the future while minimizing costs.Customers can look to span their infrastructure across the datacenter, private cloud and public cloud – using the right resources at the right time, for the right apps.With Microsoft, customers can choose to deploy on premise with SQL Server or SQL Server appliances which are pretuned and offer fast time to solution. Or customers can take advantage of cloud offerings for the lowest maintenance deployment options and opportunities for getting additional value from data (their own or 3rd party).With Microsoft, customers can look to span solutions fluidly across on premises and public cloud through a common architecture – build once, deploy wherever. Meanwhile cutting-edge developer tools & technologies like data sync, Odata, and common management frameworks enable true IT innovation and business agility for maximum return on investments.Additionally, Microsoft believes customers should have access to the right tools, built-in, to store, extend and analyze data --- turning mounds of data into new business opportunities and unlocking breakthrough insights across every level of the organization.