CTE Ottawa Seminar Day - September 7th, 2012 This clinic introduces the key features and enhancements in SQL Server 2012. It is designed to provide a high-level overview of the product and the key new capabilities in this release. This course is intended for technology managers and database professionals who want to understand the key capabilities of SQL Server 2012. In many cases, it is assumed that senior technical managers may attend this clinic in order to assess the further training that their technology-focused employees will need in order to adopt SQL Server 2012.

1. Module 1: Introduction
to SQL Server 2012
CTE Ottawa Seminar Day
September 7th, 2012

2. Module Overview
• Enterprise Data Scenarios and Trends
• SQL Server 2012 Overview

3. Lesson 1: Enterprise Data Scenarios and Trends
• Common Data Workloads
• Key Trend – Mission-Critical Data
• Key Trend – Self-Service Business Intelligence
• Key Trend – Big Data
• Key Trend – Cloud Technologies
• Key Trend – Appliances

4. Common Data Workloads
Business Intelligence (BI)
Data Warehousing (DW)
Enterprise Integration Management (EIM)
Online Transaction Processing (OLTP)

5. Key Trend – Mission-Critical Data
• High availability
• Fast, up-to-the-minute data recoverability

6. Key Trend – Self-Service Business Intelligence
• Empower information workers
• Reduce IT workload

7. Key Trend – Big Data
• Large volumes of data
• Many data sources
• Diverse data formats

8. Key Trend – Cloud Technologies
• Public Cloud
• Private Cloud
• Hybrid Solutions

9. Key Trend – Appliances
• Pre-configured hardware and software solutions
• Optimized for specific workloads
• Generally purchased from a single supplier with a single
support package

10. Lesson 2: SQL Server 2012 Overview
• SQL Server 2012 Editions
• SQL Server 2012 Components
• SQL Server 2012 and Other Microsoft Technologies
• SQL Server 2012 Licensing

11. SQL Server 2012 Editions
Premium Editions
Parallel Data Warehouse Enterprise
Core Editions
Business Intelligence Standard
Other Editions
Express Compact
Developer SQL Azure
Web

12. SQL Server 2012 Components
• Not just a database engine
• Relational and Business Intelligence Components
SQL Server Components
Database Engine Analysis Services
Integration Services Reporting Services
Master Data Services StreamInsight
Data Mining Full-Text Search
PowerPivot Replication
Data Quality Services Power View

13. SQL Server 2012 and Other Microsoft Technologies
Product Relationship to SQL Server
Microsoft Windows Server The operating system on which SQL Server is
installed
Microsoft SharePoint Server A Web platform for collaboration through which
users can access SQL Server Reporting Services,
PowerPivot, and Power View
Microsoft System Center A suite of technologies for provisioning and
managing server infrastructure. SQL Server can
be deployed on virtual servers in a private cloud
and managed by System Center
Microsoft Office An information worker productivity suite that
provides an intuitive way for users to consume
SQL Server BI technologies and manage master
data models
The .NET Framework A software development runtime that includes
class libraries for creating applications that
interact with data in a SQL Server database
Windows Azure A cloud platform for developing applications that
can leverage cloud-based databases and
reporting

14. SQL Server 2012 Licensing
• Core-based Licensing – licensing by computing power
• Server + CAL Licensing – licensing by user
• Virtual Machine Licensing – licensing VMs
Edition Licensing Model
Server + CAL Core-based
Enterprise

Business Intelligence

Standard
 

15. Module Review
• Enterprise Data Scenarios and Trends
• SQL Server 2012 Overview
Learn more at www.microsoft.com/sqlserver

16. Module 2: SQL Server
2012 as a Platform for
Mission-Critical Data
CTE Ottawa Seminar Day
September 7th, 2012

17. Module Overview
• Database Development Enhancements
• Database Manageability Enhancements
• Database Availability Enhancements

18. Lesson 1: Database Development Enhancements
• Transact-SQL Enhancements
• New Functions
• Spatial Data Enhancements
• Storing and Querying Documents

19. Transact-SQL Enhancements
• The WITH RESULT SETS Clause
EXECUTE GetOrderPickList 'SO59384'
WITH RESULT SETS
(
([SalesOrder] nvarchar(20) NOT NULL,[LineItem] int, [Product] int, [Quantity] int)
)
• The THROW Statement
THROW 50001, 'Customer doers not exist', 1
• Paging with the OFFSET and FETCH Keywords
SELECT SalesOrderNumber, OrderDate, CustomerName FROM SalesOrders
ORDER BY SalesOrderNumber ASC
OFFSET 20 ROWS
FETCH NEXT 10 ROWS ONLY
• Sequence Objects
CREATE SEQUENCE OrderNumbers
START WITH 1000 INCREMENT BY 10
...
CREATE TABLE Orders
(OrderNumber int PRIMARY KEY DEFAULT(NEXT VALUE FOR OrderNumbers),
CustomerKey int, ProductKey int, Quantity int)
• The OVER Clause
SELECT City, OrderYear, OrderQuantity,
SUM(OrderQuantity) OVER (PARTITION BY City ORDER BY OrderYear
ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS RunningQty
FROM CitySalesByYear

20. Demonstration: Using Transact-SQL Enhancements
In this demonstration, you will see how to:
 Use the WITH RESULT SETS Clause
 Use the THROW Statement
 Implement Paging
 Use a Sequence Object
 Use the OVER Subclause

21. New Functions
Conversion Functions
PARSE PARSE('£345.98' AS money USING 'en-GB')
TRY_PARSE TRY_PARSE('£345.98' AS money USING 'en-US')
TRY_CONVERT TRY_CONVERT(int, 'One')
Date and Time Functions
DATEFROMPARTS DATEFROMPARTS (2010, 12, 31)
DATETIMEFROMPARTS DATETIMEFROMPARTS ( 2010, 12, 31, 23, 59, 59, 0 )
SMALLDATETIMEFROMPARTS SMALLDATETIMEFROMPARTS ( 2010, 12, 31, 23, 59 )
DATETIME2FROMPARTS DATETIME2FROMPARTS ( 2010, 12, 31, 23, 59, 59, 1, 7 )
TIMEFROMPARTS TIMEFROMPARTS ( 23, 59, 59, 1, 5 )
DATETIMEOFFSETFROMPARTS DATETIMEOFFSETFROMPARTS(2010,12,31,14,23,23,1,8,0,7)
EOMONTH EOMONTH (GETDATE(), 1)
Logical Functions
CHOOSE CHOOSE (3,'Cash','Credit Card','Debit Card','Invoice')
IIF IIF(@i % 2 = 0, 'Even', 'Odd')
String Functions
CONCAT CONCAT(Firstname, ' ', LastName)
FORMAT FORMAT(UnitPrice, 'C', 'en-GB')

22. Demonstration: Using New Functions
In this demonstration, you will see how to:
 Use Conversion Functions
 Use Data and Time Functions
 Use Logical Functions
 Use String Functions

23. Spatial Data Enhancements
• New Spatial Shapes
CIRCULARSTRING COMPOUNDCURVE CURVEPOLYGON
• Shapes larger than a Hemisphere
• New FULLGLOBE Shape

24. Demonstration: Using Spatial Data Enhancements
In this demonstration, you will see how to:
 Create a CIRCULARSTRING Shape
 Create a COMPOUNDCURVE Shape
 Create a CURVEPOLYGON Shape
 Create a Shape that is Larger than a Hemisphere
 Use the FULLGLOBE Shape

25. Storing and Querying Documents
CREATE TABLE FileStore AS FileTable
WITH (FileTable_Directory = 'Documents')
SELECT [name] As FileName FROM FileStore
WHERE CONTAINS(PROPERTY(file_stream,'Title'),'Bike OR Cycling')
SELECT [name] As FileName
FROM FileStore
WHERE CONTAINS(file_stream, 'NEAR((bicycle, race), 15)')

26. Demonstration: Working with Documents
In this demonstration, you will see how to:
 Create a FileTable
 Use the NEAR Operator

27. Lesson 2: Database Manageability Enhancements
• Management Tool Enhancements
• Security Enhancements

28. Management Tool Enhancements
• Code Snippets
• Enhanced Debugging

29. Demonstration: Using SQL Server Management Studio
In this demonstration, you will see how to:
 Use Code Snippets
 Debug Transact-SQL Code

30. Security Enhancements
• User-Defined Server Roles
CREATE SERVER ROLE [AGAdmins] AUTHORIZATION [sa];
GRANT ALTER ANY AVAILABILITY GROUP TO [AGAdmins];
GRANT ALTER ANY ENDPOINT TO [AGAdmins];
GRANT CREATE AVAILABILITY GROUP TO [AGAdmins];
GRANT CREATE ENDPOINT TO [AGAdmins];
ALTER SERVER ROLE [AGAdmins]
ADD MEMBER [JohnDoe];
• Contained Databases
CREATE DATABASE [MyContainedDB]
CONTAINMENT = PARTIAL
GO
USE [MyContainedDB]
CREATE USER [SalesAppUser] WITH PASSWORD = 'Pa$$w0rd'
GO

31. Demonstration: Using Security Enhancements
In this demonstration, you will see how to:
 Create a Server Role
 Create a Contained Database

32. Lesson 3: Database Availability Enhancements
• Backup and Restore Enhancements
• AlwaysOn Availability Groups

33. Backup and Restore Enhancements
• Point-In-Time Restore
• Page Restore

34. Demonstration: Using Backup and Restore Enhancements
In this demonstration, you will see how to:
 Perform a Point-In-Time Restore

35. AlwaysOn Availability Groups
Node3
Windows Cluster
Async
Node1 (Primary)
Node2 (Read-Only)
Listener

36. Demonstration: Using AlwaysOn Availability Groups
In this demonstration, you will see how to:
 Verify Cluster and AlwaysOn Configuration
 Perform a Full Database Backup
 Create an AlwaysOn Availability Group
 View Availability Group Configuration
 Connect to an AlwaysOn Availability Group
 Use a Readable Secondary Replica
 Use a Readable Secondary Replica with a Read-Intent Connection
 Perform a Manual Failover
 Observe Automatic Failover

37. Module Review
• Database Development Enhancements
• Database Manageability Enhancements
• Database Availability Enhancements
For more information, attend the following courses:
• 10774A: Querying Microsoft® SQL Server® 2012
• 10775A: Administering Microsoft® SQL Server® 2012 Databases
• 10776A: Developing Microsoft® SQL Server® 2012 Databases
• 40008A: Updating your Database Skills to Microsoft® SQL Server® 2012

38. Module 3: Enterprise
Integration Management
and Data Warehousing
CTE Ottawa Seminar Day
September 7th, 2012

39. Module Overview
• SQL Server 2012 Data Quality Services
• SQL Server 2012 Master Data Services
• SQL Server 2012 Integration Services
• SQL Server 2012 for Data Warehousing

40. Lesson 1: SQL Server 2012 Data Quality Services
• Overview of SQL Server Data Quality Services
• Data Quality Services Knowledge Bases
• Data Cleansing
• Data Matching

41. Overview of SQL Server Data Quality Services
DQS Server
• DQS is a knowledge-
based solution for:
KB
 Data Cleansing
 Data Matching 1011000110
• DQS Components:
DQS Client
 Server
 Client
 Data Cleansing SSIS Data Cleansing Transformation
Transformation
SSIS

42. Data Quality Services Knowledge Bases
• Repository of knowledge about
data:
KB
 Domains define values and rules for
each field
 Matching policies define rules for
identifying duplicate records
1011 000110

43. Demonstration: Creating a Knowledge Base
In this demonstration, you will see how to:
 Create a Knowledge Base
 Perform Knowledge Discovery
 Perform Domain Management

44. Data Cleansing
1. Select a knowledge base
2. Map columns to domains
3. Review suggestions and
corrections
4. Export results

45. Demonstration: Cleansing Data
In this demonstration, you will see how to:
 Create a Data Cleansing Project.
 View Cleansed Data.

46. Data Matching
• Matching Policies
• Data Matching Projects

47. Demonstration: Matching Data
In this demonstration, you will see how to:
 Create a Matching Policy.
 Create a Data Matching Project.
 View Data Matching Results.

48. Lesson 2: SQL Server 2012 Master Data Services
• Overview of SQL Server Master Data Services
• Master Data Models
• The Master Data Services Add-in for Excel
• Implementing a Master Data Hub

49. Overview of SQL Server Master Data Services
CRM
Customer ID Name Address Phone
1235 Ben Smith 1 High St, Seattle 555 12345

Customer ID Account No Contact No Customer Address Phone
Master Data Hub 1235 531 22 Ben Smith 1 High St, Seattle 555 12345
Master Data Services
Data Steward
Other consumers
(e.g. Data Warehouse ETL)
Order Processing System Marketing System
Account No Customer Address Phone Contact No Name Address Phone
531 Benjamin Smith 1 High St, Seattle 555 12345 22 B Smith 5 Main St, Seattle 555 54321

50. Master Data Models
• A versioned data model for
Customers Model
specific business item or area
of the business Version 1
• Contains definitions for Account Type Entity Member
entities required in the Attributes:
•
•
Code: 1
Name: Standard
business area •
•
Code (string)
Name (string) Member
• Code: 2
 Often an entity with the same • Name: Premier
name as the model, as well as
related entities
Customer Entity Member
• Each entity has a defined set • Code: 1235
Attributes:
of attributes • Code (free-form text)
•
•
Name: Ben Smith
Address: 1 High St, Seattle
• Name (free-form text) • Phone: 555-12345
• Address (free-form text) • AccountType: 1
 All entities have Code and • Phone (free-form text) • CreditLimit: 1000
• AccountType (domain-based)
Name attributes • CreditLimit (free-form number)
Contact Details Attribute Group
 Attributes can be categorized in
attribute groups
• Each instance of an entity is a Version 2 Version 3
known as a member

51. Demonstration: Creating a Master Data Model
In this demonstration, you will see how to:
 Create a Master Data Model
 Create Entities
 Create Attributes
 Add and Edit Members

52. The Master Data Services Add-in for Excel
• Use the Master Data
Services Add-In for
Excel to connect to a
model
• Create entities
• Add columns to
create attributes
• Edit entity member
data in worksheets
• Publish changes to
Master Data Services

53. Demonstration: Editing a Model in Microsoft Excel
In this demonstration, you will see how to:
 View a Master Data Entity in Excel
 Add a Member
 Add a Free-Form Attribute
 Add a Domain-Based Attribute and a Related Entity

54. Implementing a Master Data Hub
CRM
Master Data Hub
Other consumers
SSIS (e.g. Data Warehouse ETL)
SSIS

SSIS
SSIS
Order Processing System
Data Steward
Marketing System
• Users insert and update data in application data stores
• Application data is loaded into the master data hub via staging
tables for consolidation and management by data stewards
• Master data flows back to application data stores and other
consumers across the enterprise via subscription views

55. Demonstration: Importing and Consuming Master Data
In this demonstration, you will see how to:
 Use an SSIS Package to Import Data
 View Import Status
 Create a Subscription View
 Query a Subscription View

56. Lesson 3: SQL Server 2012 Integration Services
• Overview of SQL Server Integration Services
• Extracting Modified Data
• Deploying and Managing Integration Services Projects

57. Overview of SQL Server Integration Services
• SSIS project:
 A versioned container for parameters and packages
 A unit of deployment to an SSIS Catalog
• SSIS package:
 A unit of task flow execution
 A unit of deployment (package deployment model)
Project Project-level parameter
Project-level connection manager
Deploy SSIS Catalog
Package Package
Package-level parameter Package-level parameter
Package connection manager Package connection manager
Control Flow
Package
Control Flow
Deploy Deployment
Data Flow Data Flow
Model

58. Extracting Modified Data
Initial Extraction Incremental Extraction
1 CDC Control
CDC Control 1 Get Processing Range
Mark Initial Load Start
CDC CDC
CDC CDC Source
Source State State
Data Flow
2
Data Flow
Variable Variable
2
CDC Splitter
Staged Inserts
3
CDC State Table
3 Staged Staged Staged
CDC Control
Mark Initial Load End Inserts Updates Deletes
4 CDC Control
Mark Processed Range
1. A CDC Control Task records the 1. CDC Control Task establishes the range of
starting LSN LSNs to be extracted
2. A data flow extracts all records 2. A CDC Source extracts records and CDC
metadata
3. A CDC Control task records the ending
LSN 3. Optionally, a CDC Splitter splits the data
flow into inserts, updates, and deletes
4. A CDC Control task records the ending LSN

59. Demonstration: Using the CDC Control Task
In this demonstration, you will see how to:
 Enable Change Data Capture
 Perform an Initial Extraction
 Extract Modified Records

60. Deploying and Managing Integration Services Projects

61. Demonstration: Deploying an Integration Services Project
In this demonstration, you will see how to:
 Create an SSIS Catalog
 Deploy an SSIS Project
 Create Environments and Variables
 Run an SSIS Package
 View Execution Information

62. Lesson 4: SQL Server 2012 for Data Warehousing
• Overview of SQL Server Data Warehousing
• Options for SQL Server Data Warehousing
• Optimizing Performance with Columnstore Indexes

63. Overview of SQL Server Data Warehousing
• A centralized store of business data for reporting and analysis
• Typically, a data warehouse:
 Contains large volumes of historical data
 Is optimized for querying data (as opposed to inserting or updating)
 Is incrementally loaded with new business data at regular intervals
 Provides the basis for enterprise business intelligence solutions

64. Options for SQL Server Data Warehousing
Custom-build
Reference Data warehouse
architectures appliances

65. Optimizing Performance with Columnstore Indexes
Row Store Column Store
ProductID OrderDate Cost ProductID OrderDate Cost
310 20010701 2171.29 310 20010701 2171.29
311 …
311 20010701 1912.15 1912.15
312 20010702
312 20010702 2171.29 2171.29
313 …
313 20010702 413.14 413.14
data 314 …
page 333.42
1000 315 20010703
1295.00
316 …
4233.14
317 …
ProductID OrderDate Cost
318 641.22
…
314 20010701 333.42 24.95
319 …
315 20010701 1295.00 320 20010704 64.32
316 20010702 4233.14 321 … 1111.25
data
317 20010702 641.22
data data data
page page page page
1001 2000 2001 2002

66. Demonstration: Using a Columnstore Index
In this demonstration, you will see how to:
 View Logical Reads for a Query
 Create a Columnstore Index
 View Performance Improvement

67. Module Review
• SQL Server 2012 Data Quality Services
• SQL Server 2012 Master Data Services
• SQL Server 2012 Integration Services
• SQL Server 2012 for Data Warehousing
For more information, attend the following courses:
• 10777A: Implementing a Data Warehouse with Microsoft® SQL Server® 2012
• 40009A: Updating your Business Intelligence Skills to Microsoft® SQL
Server® 2012