Update your SQL Server 2008 knowledge to SQL Server 2014 products and data platform components.

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In this course, you will learn how to use SQL Server 2014 product features and other Microsoft data platform components that have been added since the release of SQL Server 2008.

This course incorporates materials from the Official Microsoft Learning Product 10977.

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Course duration:

5 days

What You’ll Learn

  • Key features and capabilities of SQL Server 2014
  • New and enhanced features to develop database in SQL Server 2014
  • In-memory database capabilities in SQL Server 2014
  • Manage SQL Server 2014 by using dynamic management views and PowerShell
  • Implement security in SQL Server 2014
  • Implement high availability and data recovery techniques in SQL Server 2014
  • SQL Server 2014 Integration Services, Data Quality Services, and Master Data Services
  • Manage SQL Server 2012 agent and jobs
  • Implement a tabular data model in SQL Server 2014 Analysis Services
  • Implement a Self-Service BI solution with Microsoft Excel 2013
  • Key elements of cloud solutions for data
  • Implement a database in Microsoft Azure SQL Databases
  • Implement a SQL Server database in a Microsoft Azure virtual machine
  • Implement a Big Data solution with Microsoft Azure HDInsight and the Microsoft Azure Marketplace

Who Needs to Attend

Database and business intelligence (BI) professionals who are familiar with SQL Server 2008 and want to update their skills to SQL Server 2014


  • Experience building and managing database, data warehouse, and BI solutions with SQL Server 2008
  • Familiarity with Windows Server 2012 operating system and networking
  • Familiarity with Microsoft Excel 2013 and Microsoft SharePoint Server 2013

Course Outline

1. Introduction to SQL Server 2014

  • Overview of SQL Server 2014
  • SQL Server 2014 Editions and Components
  • Installing SQL Server 2014
  • Enhancements to SQL Server Management Studio

2. What’s New in SQL Server Database Development

  • Transact-SQL Enhancements and Functions
  • Enhancements to Spatial Data Support
  • Storing and Querying Documents with SQL Server 2014

3. In-Memory Database Capabilities

  • The Buffer Pool Extension
  • Columnstore Indexes and Memory-Optimized Tables

4. Scripting SQL Server 2014

  • Dynamic Management Views
  • Manage SQL Server using PowerShell

5. Implementing Security in Microsoft SQL Server 2014

  • Security Management Enhancements
  • Contained Databases

6. High Availability and Data Recovery Enhancements

  • AlwaysOn High Availability
  • Enhancements to Data Recovery

7. New and Enhanced Features in SQL Server Integration Services

  • Use CDC Control Task for Incremental Data Loads
  • Deploy and Operate SSIS Packages

8. Data Quality Services

  • Introduction to Data Quality
  • Use Data Quality Services to Cleanse and Match Data

9. Master Data Services

  • Introduction to Master Data Services
  • Implement a Master Data Services Model
  • Use the Master Data Services Add-in for Excel

10. SQL Server 2014 Reporting Services

  • Reporting Services Overview
  • Reporting Services and Microsoft SharePoint Server
  • Introduction to Data Alerts

11. Implementing an Analysis Services Tabular Data Model

  • Introduction to Analysis Services Tabular Data Model Projects
  • Creating a Tabular Model
  • Use an Analysis Services Tabular Data Model in the Enterprise

12. Self-Service Business Intelligence (BI) with Microsoft Excel

  • PowerPivot for Excel and SharePoint Server
  • Power Query, Power View, and Power Map
  • Power BI for Office 365

13. Introduction to Cloud Data Solutions

  • Overview of Cloud Computing
  • Microsoft Azure Services for Data

14. Microsoft Azure SQL Database

  • Introduction to Microsoft Azure SQL Database
  • Microsoft Azure SQL Database Security
  • Implementing and Managing Databases

15. SQL Server in Microsoft Azure Virtual Machines

  • Introduction to Microsoft Azure Virtual Machines
  • Microsoft Azure Virtual Machine Connectivity and Security
  • Creating Databases in a Microsoft Azure Virtual Machine

16. Implementing Big Data Solutions

  • Introduction to Big Data
  • Microsoft Azure HDInsight
  • Consuming HDInsight Results in Excel
  • Obtaining Data from the Microsoft Azure Marketplace


Lab 1: Exploring SQL Server 2014

  • Reviewing Installed Components
  • Use SQL Server Management Studio

Lab 2: Develop SQL Server 2014 Databases

  • Use Sequence Objects
  • Use the THROW statement
  • Implement Paging and Query Documents

Lab 3: Use In-Memory Database Capabilities

  • Enable the Buffer Pool Extension
  • Create Columnstore Indexes and work with Memory-Optimized Tables

Lab 4: Manage SQL Server with Scripts

  • Use Dynamic Management Views and PowerShell

Lab 5: Implement Security

  • Implement User-Defined Server Roles and implement Contained Databases

Lab 6: Use AlwaysOn Availability Groups

  • Create and use an AlwaysOn Availability Group
  • Observe Availability Group Failover Behavior

Lab 7: Use SQL Server Integration Services

  • Extract Modified Data
  • Deploy and Operate an SSIS Project

Lab 8A: Cleansing Data

  • Create a DQS Knowledge Base
  • Use a DQS Project to Cleanse Data
  • Use DQS in an SSIS Package

Lab 8B: Deduplicating Data

  • Create a Matching Policy and use DQS Project to Match Data

Lab 9: Implement Master Data Services

  • Create a Basic Model
  • Edit a Model by Using the Master Data Services Add-in for Excel
  • Load Data into a Model, Enforce Business Rules, and Consume Master Data Services Data

Lab 10: Using SQL Server 2014 Reporting Services

  • View SharePoint Mode Configuration
  • Authoring, Publishing, and Viewing a Report
  • Create and Manage Data Alerts

Lab 11: Work with Analysis Services Tabular Data Model

  • Create an Analysis Services Tabular Data Model Project
  • Configure Columns and Relationships
  • Use Custom DAX Expressions
  • Deploy an Analysis Services Tabular Data Model

Lab 12: Self-Service BI with Excel

  • Create a Data Model with PowerPivot
  • Import Data with Power Query and Visualize Data with Power View
  • Visualize Geographic Data with Power Map

Lab 13: Use Microsoft Azure

  • Create a Microsoft Azure Storage Account
  • Back Up a Database to Microsoft Azure
  • Storing Data Files in Microsoft Azure