In this presentation we review the new features in SQL 2008 R2. Regards, Ing. Eduardo Castro Martinez, PhD http://comunidadwindows.org http://ecastrom.blogspot.com

1. Introduction to SQL Server 2008 R2 Ing. Eduardo Castro ecastro@mswindowscr.org Comunidad Windows

3. Ensure business continuity

5. Simplify application development

7. Deliver relevant information

8. Drive actionable insightsINTELLIGENT

9. Information Platform Vision Empowered IT Pervasive Insight Dynamic Development Mission Critical Platform Cloud Desktop & Mobile Server & Datacenter

10. Scalable relational database platform Consistent, familiar model & tools Self-managed, highly available cloud services MPP support for 10s to 100s TB DW Highly scalable appliances Seamless integration with Microsoft BI SQL Server 2008 R2 Wave Managed Self-Service BI Multi-server management Virtualization & Live Migration

12. XML support

13. Data Mining and Data Scripting

14. Failover clustering

15. XML support

16. Data Mining and Data Scripting

17. Failover clustering

18. XML support

19. Data Mining and Data Scripting

21. SSAS and Ad Hoc Reporting

22. ETL and SSIS

23. Service Broker

24. Database Mirroring

25. SSAS and Ad Hoc Reporting

26. ETL and SSIS

27. Service Broker

28. Resource governor

29. Transparent Data Encryption

30. Enhanced BI Sync framework

31. Data compression/backup compression

32. Policy Based Management.

33. New data types ( spatial , dates and time)

34. PowerPivotfor Sharepoint

35. Report Builder 3.0

36. Support for up to 256 Logical Processors

37. Master Data Services

38. Multi-Server Management

39. Hyper-V Live Migration

40. Data Tier Application Management (VS Integration)

41. Complex Event Processing

42. System Prep

43. Unicode Compression 5

44. R2 in a glance New Editions 2 new premium editions to meet the needs of large scale datacenters and data warehouses New R2 Technologies Application and Multi-Server Management Managed Self-Service Business Intelligence Master Data Services StreamInsight Complex Event Processing Technology

45. R2 in a glance New R2 Solutions PowerPivot for SharePoint PowerPivot for Excel Parallel Data Warehouse Fast Track Data Warehouse

46. What’s R2 Building on the momentum of SQL Server 2008, “R2” improves IT efficiency by reducing the time and cost of developing and managing applications Empowers end users to make better decisions through Self-Service Business Intelligence and enables organizations to scale with confidence by providing high levels of reliability, security and scalability for business critical applications.

47. What’s R2 Report Builder 3.0 with support for geospatial visualization Application and Multi-server Management - SMP scale up with support for up to 256 logical processors. This CTP provides the first opportunity to explore some of the features of SQL Server 2008 R2 and see how it all comes together to enhance performance and scalability, enable self-service BI and improve IT and developer efficiency.

48. Scalability & Performance Enhancements SQL Server 2008 R2 comes up with two new feature in scalability and performance enhancements: Support for More Than 64 CPUs- The number of CPU cores that a server can use for database operations been increased from 64 to 512. Unicode Compression-Unicode data that is stored in nvarchar(n) and nchar(n) columns is now compressed by using an implementation of the standard Compression Scheme for Unicode(SCSU) algorithm.

49. Premium Edition Datacenter Datacenter Designed to deliver a high-performing data platform that provides the highest levels of scalability for large application workloads, virtualization and consolidation Key features new to Datacenter: Application and Multi-Server Management for enrolling, gaining insights and managing over 25 instances

50. Premium Edition Datacenter High-scale complex event processing with SQL Server StreamInsight Supports more processors and up to 256 logical processors for highest levels of scale Supports memory limits up to OS maximum

51. High Scale Data Warehouse SITUATION TODAY SQL SERVER 2008 R2 PARALLEL DATA WAREHOUSE Predictable scale-out through MPP on SQL Server and Windows Massive Scale with Low TCO – 10s to 100TB+ (total cost starts at $15k/TB!) Integrated BI platform for small and very large Enterprises Data volumes are exploding Growing population of users accessing information Increasingly complex data analyses performed against data “Parallel Data Warehouse is a natural complement to SQL Server, so we are excited about the possibilities the DatAllegro acquisition will bring.” - Ron Van Zanten, Directing Officer of Business Intelligence, Premier Bankcard Inc

52. Premium Edition Parallel DataWarehouse SQL Server 2008 R2 Parallel Data Warehouse is a highly scalable data warehouse appliance-based solution

53. Premium Edition Parallel DataWarehouse Key features new to Parallel Data Warehouse: 10s to 100s TBs enabled by MPP architecture Advanced data warehousing capabilities like Star Join Queries and Change Data Capture Integration with SSIS, SSRS, and SSAS Supports industry standard data warehousing hub and spoke architecture and parallel database copy

54. Architecture At A Glance

56. Drives Configured As RAID1 To Avoid Appliance Failover for a Single Drive Failure

57. IBM Compute Nodes Will Have 1 Lun (1 RAID1 Pair)

58. Dell Compute Nodes Will Have 2 Lun’s (2 RAID1 Pairs)

59. HP Compute Nodes Will Have 3 Luns’s (3 RAID1 Pairs)

60. Tempdb:

61. Sort-work Area For Data Loading Into Clustered Index Tables

63. 4 RAID10 Pairs for Primary User Data

64. 1 RAID10 Pair for Database Logs

65. 2 LUN’s Are Spread Across Each RAID Pair

66. User Databases Are Separate Physical SQLServer Databases

68. Query Processing

69. Parallel DataWarehouse Appliance

70. How Unicode Compression affects Data Storage You can implement it simply when creating table: With (Data_Compression=ROW) or after creating table: Alter Table [Name] REBUILD WITH(Data_Compression=ROW)

71. Manageability Enhancements SQL Server 2008 R2 introduces the SQL Server Utility for managing multiple instances of the SQL Server Database Engine. In SQL Server Management Studio, organizations will gain insights into their growing applications and SQL Server instances

72. Resource Optimization Consolidation management Use a new explorer in SQL Server Management Studio to access the central management for multi-server management and at-a-glance dashboard views Improve service levels Set policies to define desired utilization thresholds across target servers or applications within a new central management point. Identify issues with instances and applications

74. SQL Server Utility demo Ing. Eduardo Castro, PhD

75. Manageability Enhancements It also introduces a unit of management called a data-tier application that provides an application-based view for managing the data-tier objects in the SQL Server Utility or stand-alone instances of the Database Engine. R2 makes it easier for DBAs to move databases around from server to server in much the same way virtualization admins move guest OS’s around between physical hosts.

76. Multi-Server Management TODAY TOMORROW Control server sprawl with 1 to many management – setup is fast and easy Manage capacity through policies – save time, optimize resources DAC Single unit of deployment – increase deployment and upgrade efficiency

77. R2: Bringing DAC SQL Server 2008 R2 still has the same concept of databases, but it’s added a new level above databases called Data-Tier Applications, abbreviated DAC The DAC includes the database schema plus some server-level objects required in order to support the database, like logins. The DAC does not include the data inside your database.

78. R2: Bringing DAC For deployment best practices, you should have any necessary data (configuration tables, basic lookup tables) already scripted out as part of your deployment strategy. With the DAC approach, it makes sense to put these scripts inside the database as objects. For example, you might have a stored procedure called usp_deploy that populates all of the necessary configuration tables via insert statements.

79. What DACs Mean for Database Administrators Developers create and update their database schema, stored procedures, functions, etc. inside Visual Studio, packaging them into DAC Packs, and handing them to the database administrator.

80. SQL Server DAC PACK demo Ing. Eduardo Castro, PhD

81. SQL Server 2008 R2 Virtualization SQL Server installs by creating sysprep-ed images of SQL Server standalone instances that can be copied and quickly installed on target systems. Enables rapid provisioning and configuration using prepared images stored in VHDMart for Hyper-V deployments.

82. SQL Server 2008 R2 Virtualization SQL Server 2008 Sysprep accomplishes the install in two phases behind the scenes: prepare and configure. In SQL Server 2008 R2, two new SQL Server setup actions are exposed to the users: PrepareImage (also referred to as “prepare”) and CompleteImage (also referred to as “complete” or “configure”).

83. SQL Server 2008 R2 Virtualization SQL Server PrepareImage takes about 30 minutes for Engine and RS components, whereas CompleteImage takes a few minutes. Windows SysPrep process can be run in between the two steps to create Windows OS image and deploy to target computers, but is not a required step. These two steps can be run back-to-back on the same computer. Sysprep will be able to save on the average an estimated 30 minutes per install.

84. Centralized VisibilityProactively monitor user-generated BI applications with PowerPivot dashboards

85. Managed Self-Service BI Users IT Administrators Model Analyze Personalize Share Provision Administer Secure Track Empowered to create analysisand gain actionable insightswithout IT dependence Empowered to managecompliance and resources without user obstruction Managed Self-Service BI Provides alignment between IT and IW to give users the power to drill into any aspect of their business and compress decision cycles to gain deeper insight while increasing the efficiency of the IT department.

86. Managed Self-Service BI Empower End Users Share & Collaborate Increase IT Efficiency The ability to respond quickly to business opportunities and customer needs can be a huge differentiator.

87. The State of BI Today Have Have Not 20% 80%

88. Microsoft BI Vision & Strategy BIfor Everyone Empower Your People with Business Insights Improve Organizational Effectiveness EnableIT Efficiency

89. Use What You Already Know Producers of BI Consumers of BI Enjoy the power and familiarity of Microsoft Office Excel 2010. Enjoy anywhere access to BI with zero footprint deployment. The Microsoft BI Solution Stack Improving organizations by providing business insights to all employees leading tobetter, faster, more relevant decisions.

90. Empower End Users SITUATION TODAY POWERPIVOT FOR EXCEL & REPORT BUILDER 3.0 Mashup data from internal and external sources directly in Excel Powerful analysis & reporting against vast amounts of data (+100 million rows) directly in Excel Productive reporting with familiar Microsoft Office interface Users need timely access to information Ability to combine data across multiple sources provides a more accurate view Training users on multiple BI tools is inefficient and costly “Our analysts can do anything with Excel, so integrating Excel as a front end for our BI infrastructure is extremely popular. It makes it easier to explore the huge wealth of data we have in our 17-terabyte data warehouse” - Dan Zerfas, Vice President of Software Development

91. PowerPivot for Excel PowerPivoting Massive Data Volumes With a few mouse clicks, a user can create and publish intuitive and interactive self-service BI solutions.

93. Schedule data refreshes to keep your analysis up-to-date

95. Capitalizing on Existing Reports with Report Part Gallery SourceReport New Report ReusingReport Components Reusing common report elements helps to accelerate report creation, cut down costs, and increase end-user adoption. SharePoint provides the central location for sharing and editing reports and automatically synchronizes published content objects.

96. Not Everything is Managed by IT Less than 20% of users rely exclusively on IT managed data and solutions. The rest roll their own “systems” out of sight from IT. IT Managed Succeeding with BI True pervasive insight requires bridging the gap between end users and IT.

97. Managed Self-Service Business Intelligence Empower your business units and users to create and share BI solutions through familiar and intuitive tools SQL Server PowerPivot Add-in for Excel(formerly known as "Gemini) SharePoint 2010 based Operations Dashboard SQL Server Reporting Services Report Builder 3.0 Rich visualization of geospatial data

98. Overview of PowerPivot So, what is PowerPivot then? New client and server components for self-service, managed BI Client component lights up Excel 2010 Huge data capacities and mash-ups In-memory SSAS data model Server component lights up in SharePoint 2010 Integrated SSAS service to handle data models Excel Services used to render spreadsheets

99. PowerPivot Excel Add-in PowerPivot client tool Add-in for Excel 2010 Provides SSAS engine, PowerPivot UI Creates in-memory database model Gather data for analysis Load & Prepare Data option Connect to data sources (lots of options) Import data into PowerPivot tab Select columns, filter data as needed

100. PowerPivot Excel Add-in Describe how data is related Inform PowerPivot of data relationships Supports basic PK-FK type relationships Create basic data model Use expressions (DAX) to add calculations Includes many Excel functions Expressions based on columns, not cells

101. Analyzing Data with Excel 2010 Use pivot-tables and pivot-charts Updated task pane for selecting data Data elements grouped by PowerPivot tab Use as dimensions or measures as appropriate New and updated visualizations Slicers (excellent!) Sparklines (excellent!) Improved icon sets, data bar formatting Improved chart options and performance

102. SQL Server Power Pivot demo Ing. Eduardo Castro, PhD GrupoAsesor en Informática ecastro@grupoasesor.net

103. Master Data Management ROLE SECURITY VERSIONING WORKFLOW APPROVAL HIERARCHY MGMT CRM Purchasing DB HR Doc ERP Asset Mgmt

104. SQL Server 2008 R2 Master Data Services (MDS) Master Data Services helps enterprises standardize the data people rely on to make critical business decisions. With Master Data Services, IT organizations can centrally manage critical data assets companywide and across diverse systems, enable more people to securely manage master data directly, and ensure the integrity of information over time.

106. SQL Server 2008 R2 Master Data Services (MDS) Master Data Services is a Master Data Management application that consists of the following components and tools Master Data Services Configuration Manager, Master Data Manager Master Data Services Web service

107. SQL Server 2008 R2 Master Data Services (MDS) Master data hub that provides central management of master data entities and hierarchies and collections Thin-client stewardship portal that provides secure, role-based Web access to master data Versioning of all data entities and hierarchies Human workflow that notifies assigned owners by e-mail of business rule violations

108. SQL Server 2008 R2 Master Data Services (MDS) Flexible and extensible business rules that safeguard the quality of data entered in the master data hub Support for a broad range of hierarchy and attribute management strategies and requirements Comprehensive role-based security model that enables fine-grained, secure access to master data

110. SQL Sserver 2008 R2 Master Data Services Models are the highest level of data organization in Master Data Services Entities Attributes and attribute groups Hierarchies (derived and explicit) Collections

111. SQL Server Master Data Services demo Ing. Eduardo Castro, PhD

112. SQL Server 2008 R2 – StreamInsight Technology Data volumes are exploding with event data streaming from sources such as RFID, sensors and web logs The size and frequency of the data make it challenging to store for data mining and analysis. The ability to monitor, analyze and take business decisions in near real-time

113. SQL Server StreamInsight’s SQL Server StreamInsight’s ability to derive insights from data streams and act in near real time provides significant business benefits. Some of the possible scenarios include: Algorithmic trading and fraud detection for financial services Industrial process control (chemicals, oil and gas) for manufacturing Electric grid monitoring and advanced metering for utilities Click stream web analytics Network and data center system monitoring.

114. .NET C# LINQ StreamInsight Application Development StreamInsight Application at Runtime Event sources Event targets Input Adapters Output Adapters StreamInsight Engine Devices, Sensors Pagers & Monitoring devices Standing Queries KPI Dashboards, SharePoint UI Web servers Query Logic Query Logic Trading stations Event stores & Databases Query Logic Event stores & Databases Stock ticker, news feeds StreamInsight Platform

116. Events Represent the user payload along with temporal characteristics Streams Sequence of events Flows into (one or more) standing queries in StreamInsightengine Queries Operate on event streams Apply desired semantics on events Adapters Convert custom data from event sources to / from StreamInsight events Key Concepts

117. Event Complex Event Processing (CEP) is the continuous and incremental processing of event streams from multiple sources based on declarative query and pattern specifications with near-zero latency. request output stream input stream response What is CEP?

118. Latency Relational Database Applications CEP Target Scenarios Operational Analytics Applications, Logistics, etc. Data Warehousing Applications Web Analytics Applications Manufacturing Applications Financial Trading Applications Monitoring Applications Aggregate Data Rate (Events/sec) Event Processing Scenarios

120. React through device controllers

121. Aggregated data

123. Algorithmic trading

124. Patterns over time

125. Super-low latency

127. Outages

128. Smart grids

130. Medical devices

131. Pharmacy RFID

133. Online customer behavior

134. Page layout

136. R2 in a glance New Editions 2 new premium editions to meet the needs of large scale datacenters and data warehouses New R2 Technologies Application and Multi-Server Management Managed Self-Service Business Intelligence Master Data Services StreamInsight Complex Event Processing Technology

137. R2 in a glance New R2 Solutions PowerPivot for SharePoint PowerPivot for Excel Parallel Data Warehouse Fast Track Data Warehouse

138. Introduction to SQL Server 2008 R2 Ing. Eduardo Castro ecastro@mswindowscr.org Comunidad Windows