Module 1: Introduction to SQL Server 2014

This module introduces key features of SQL Server 2014.

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

Module 2: What’s New in SQL Server Database Development

This module describes enhancements to Transact-SQL and other database development features since SQL Server 2008.

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

Module 3: In-Memory Database Capabilities

This module describes how SQL server 2014 enables you to leverage in-memory technologies to enhance database performance.

• The Buffer pool Extension
• Columnstore Indexes
• Memory-Optimized Tables

Module 4: Scripting SQL Server 2014

This lesson describes how you can use dynamic management views and PowerShell to script administrative tasks in SQL server 2014.

• New and Enhanced Dynamic Management Views
• Using PowerShell to Manage SQL Server

Module 5: Implementing Security in Microsoft SQL Server 2014

This module describes the enhancements to security features since SQL Server 2008.

• Security Management Enhancements
• Contained Databases

Module 6: High Availability and Data Recovery Enhancements

This module describes enhancements to SQL Server availability and data recovery features since SQL Server 2008.

• AlwaysOn High Availability
• Enhancements to Data Recovery

Module 7: New and Enhanced Features in SQL Server Integration Services

This module describes enhancements to SQL Server Integration Services since SQL Server 2008.

• Using the CDC Control Task for Incremental Data Loads
• Deploying and Operating SSIS Packages

Module 8: Data Quality Services

This module explains how to use the SQL Server 2014 Data Quality Services (DQS) to provide a computer assisted process for cleansing data values and identifying and removing duplicate data entities.

• Introduction to Data Quality
• Using Data Quality Services to Cleanse Data
• Using Data Quality Services to Match Data

Module 9: Master Data Services

This module introduces Master Data Services and describes its key configuration options and how to import and export data.

• Introduction to Master Data Services
• Implementing a Master Data Services Model
• Using the Master Data Services Add-in for Excel

Module 10: SQL Server 2014 Reporting Services

This module describes new and enhanced features in SQL Server Reporting Services.

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

Module 11: Implementing an Analysis Services Tabular Data Model

This module describes Analysis Services tabular data models and explains how to develop a tabular data model by using the SQL Server Data Tools for BI add-in for Visual Studio.

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

Module 12: Self-Service BI with Microsoft Excel

This module introduces the self-service BI capabilities that can be delivered through Microsoft Excel 2013 and related technologies.

• PowerPivot for Excel
• PowerPivot for SharePoint Server
• Power Query
• Power View
• Power Map
• Collaborative Analysis with Power BI for Office 365

Module 13: Introduction to Cloud Data Solutions

This module introduces some of the key Microsoft technologies that you can use to implement a cloud solution for data.

• Overview of Cloud Computing
• Microsoft Azure Services for Data

Module 14: Microsoft Azure SQL Database

This module introduces Microsoft Azure SQL Database, a Platform-as-a-Service (PaaS) solution for cloud-based relational database storage.

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

Module 15: SQL Server in Microsoft Azure Virtual Machines

This module explores how you can use Microsoft Azure virtual machines in which SQL Server is installed to create a cloud-based solution for data.

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

Module 16: Implementing Big Data Solutions

This module describes the main features of big data, and the Microsoft technologies that you can use to build big data analytical solutions. In particular, the module focuses on Microsoft Azure HDInsight and the Microsoft Azure Marketplace as core elements of the Microsoft solution for big data.

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