Updating Your SQL Server Skills to Microsoft® SQL Server® 2014

After completing this module, you will be able to:

Describe common workloads for SQL Server 2014.

Describe the SQL Server 2014 Editions and Components.

Install SQL Server 2014 Components.

Use new features in SQL Server Management Studio.

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

Using Sequence Objects

Using the THROW statement

Implementing Paging

Querying Documents

After completing this module, you will be able to:

Describe enhancements to Transact-SQL.

Describe new and enhanced Transact-SQL functions.

Describe Enhancements to Spatial Data Support.

Explain how to store and query documents with SQL Server 2014.

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

Enabling the Buffer Pool Extension

Creating Columnstore Indexes

Working with Memory-Optimized Tables

After completing this module, you will be able to:

Use the Buffer Pool Extension to improve performance for read-heavy OLTP workloads.

Use Columnstore Indexes to improve performance in data warehouse query workloads.

Use memory-optimized tables to improve performance for latch-bound workloads.

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

Using Dynamic Management Views

Using PowerShell

After completing this module, you will be able to:

Describe new and enhanced dynamic management views.

Describe how to use PowerShell to Manage SQL Server.

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

Security Management Enhancements

Contained Databases

Implementing User-Defines Server Roles

Implementing Contained Databases

After completing this module, you will be able to:

Describe the security enhancements in SQL Server 2014.

Explain how to use contained databases.

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

AlwaysOn High Availability

Enhancements to Data Recovery

Creating an AlwaysOn Availability Group

Using an AlwaysOn Availability Group

Observing Availability Group Failover Behavior

After completing this module, you will be able to:

• Describe high availability features in SQL Server 2014.

• Describe data recovery enhancements in SQL Server 2014.

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

Extracting Modified Data

Deploying and Operating an SSIS Project

After completing this module, you will be able to:

Use the CDC Control task to perform incremental data extractions in an ETL solution.

Deploy and operate an SSIS project.

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

Creating a DQS Knowledge Base

Using a DQS Project to Cleanse Data

Using DQS in an SSIS Package

Creating a Matching Policy

Using a DQS Project to Match Data

After completing this module, you will be able to:

Describe how Data Quality Services can help you manage data quality.

Use Data Quality Services to cleanse your data.

Use Data Quality Services to match data.

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

Creating a Basic Model

Editing a Model by Using the Master Data Services Add-in for Excel

Loading Data into a Model

Enforcing Business Rules

Consuming Master Data Services Data

After completing this module, you will be able to:

Describe key Master Data Services concepts.

Implement a Master Data Services model.

Use Master Data Services tools to manage master data.

Use Master Data Services tools to create a master data hub.

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

Viewing SharePoint Mode Configuration

Authoring, Publishing, and Viewing a Report

Creating and Managing Data Alerts

After completing this module, you will be able to:

Describe the key capabilities of Reporting Services.

Install and configure Reporting Services in SharePoint Mode.

Use data alerts to notify users of changes to report data.

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

Creating an Analysis Services Tabular Data Model Project

Configuring Columns and Relationships

Using Custom DAX Expressions

Deploying an Analysis Services Tabular Data Model

After completing this module, you will be able to:

Describe Analysis Services tabular data model projects.

Implement an Analysis Services tabular data model.

Use an Analysis Services tabular data model.

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

Creating a Data Model with PowerPivot

Importing Data with Power Query

Visualizing Data with Power View

Visualizing Geographic Data with Power Map

After completing this module, you will be able to:

Use PowerPivot to create tabular data models in Excel.

Share a PowerPivot workbooks in SharePoint Server.

Use Power Query to discover and import data from multiple data sources into Excel.

Use Power View to create interactive data visualizations in Excel and SharePoint Server.

Use Power Map to create visualizations of geographic data.

Use Power BI for Office 365 to create a cloud-based collaborative solution for self-service BI.

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

Creating a Microsoft Azure Storage Account

Backing Up a Database to Microsoft Azure

Storing Data Files in Microsoft Azure

After completing this module, you will be able to:

Describe key features and benefits of cloud computing.

Describe Microsoft Azure service for data.

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

Provisioning Microsoft Azure SQL Database

Configuring Microsoft Azure SQL Database Security

Migrating a SQL Server Database to Microsoft Azure SQL Database

After completing this module, you will be able to:

Describe key features and benefits of Microsoft Azure SQL Database.

Implement security for Microsoft Azure SQL Database.

Implement and manage databases in Microsoft Azure SQL Database.

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

Creating a Microsoft Azure Virtual Machine

Configuring Virtual Machine Security and Connectivity

Creating Databases on a Virtual Machine

After completing this module, you will be able to:

Describe considerations for using Virtual Machines in Microsoft Azure.

Create and configure Microsoft Azure virtual machines.

Create databases in Microsoft Azure virtual machines.

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

Provisioning an HDInsight Cluster

Processing Data with HDInsight

Analyzing Big Data in Excel

Obtaining Data from the Microsoft Azure Marketplace

After completing this module, you will be able to:

Describe key features of big data.

Process big data with Microsoft Azure HDInsight.

Consume big data processing results from Microsoft Azure HDInsight in Microsoft Excel.