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MS10977 - Updating Your SQL Server Skills to Microsoft® SQL Server® 2014 (MS10977)

  • Overview
  • Who Should Attend
  • Certifications
  • Prerequisites
  • Objectives
  • Content
  • Schedule
Course Overview

Duration : 5 Days

This five-day instructor-led course teaches students how to use the enhancements and new features that have been added to SQL Server and the Microsoft data platform since the release of SQL Server 2008. The course focuses on teaching individuals how to use SQL Server 2014 product features and other Microsoft data platform components.

Who Should Attend

  • The primary audience for this course is database and business intelligence (BI) professionals who are familiar with SQL Server 2008 and want to update their skills to SQL Server 2014, and become familiar with related Microsoft data technologies.

Course Certifications

This course is part of the following Certifications:

Prerequisites

This course requires that you meet the following prerequisites:

  • Experience of building and managing database, data warehouse, and business intelligence (BI) solutions with SQL Server 2008.

  • Familiarity with the Windows Server 2012 operating system and networking.

  • Familiarity with Microsoft Excel and Microsoft SharePoint Server 2013.

Course Objectives

After completing this course, students will be able to:

  • Describe key features and capabilities of SQL Server 2014.

  • Leverage new and enhanced features to develop database in SQL Server 2014.

  • Use 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.

  • Use SQL Server 2014 Integration Services.

  • Use SQL Server 2014 Data Quality Services.

  • Use SQL Server 2014 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.

  • Describe key elements of cloud solutions for data.

  • Implement a database in Microsoft Azure SQL Database.

  • 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.

Course Content

Module 1 : Introduction to SQL Server 2014

This module introduces key features of SQL Server 2014 

Lessons 

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

Lab : Exploring SQL Server 2014

After completing this module , you will be able to :

  • Describe commonn 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

 

Module 2 : What is new in SQL Server Database Development 

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

Lessons 

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

Lab : Developing SQL Server 2014 Databases 

After completing this module , you will be able to :

  • Describe enhanceents to Transact-SQL 
  • Describe new and enhanced Transact-SQL functions
  • Descroibe Enhancements to Spatial Data Support
  • Explain how to store and query documents with SQL Server 2014.

 

Module 3 : In-Memory Database Capbailities 

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

Lessons

  • The buffer pool Extension
  • Columnstore Indexes
  • Memory Optimized Tables

Lab : Using In-Memory database Capabilities 

After completing this module , you will be able to :

  • Use the Buffer Pool Extensions to improve performance for read-heavvy OLTP workloads
  • Use columnstore Indexes to improve performance in data warehouse query workloads 
  • Use memory-optimized tables to improve performance for latch-bound workloads

 

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

Lesssons

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

Lab : Managing SQL Server with Scripts 

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

 

Module 5 : Implementing Security in Microsoft SQL Server 2014

This module describes the enhancements to security features since SQL Server 208.

Lessons

  • Security Management Enhancements
  • Contained Databases

Lab : Implementing Security

After completing this module , you will be able to :

  • Describe the security enhancements in SQL Server 2014
  • Explain how to use 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 .

Lessons

  • AlwaysOn High Availability
  • Enhancements to Data Recovery

Lab : Using AlwaysOn Availability Groups 

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

 

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

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

Lessons 

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

Lab : Using SQL Server Integration Services

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

 

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 entities

Lessons

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

Lab : Cleansing Data 

Lab : Deduplicating Data

After completing this module , you wlll 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

 

Module 9 : Master Data Services

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

Lessons 

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

Lab : Implementing  Master Data Services

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

 

Module 10 : SQL Server 2014 Reporting Services 

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

Lessons

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

Lab : Using SQL Server 2014 Reporting Services

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 

 

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.

Lessons

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

Lab : Working with 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

 

Module 12 :Self-Service BI with Microsoft Excel

This module introduces the self-service BI capabilitiess that can be delivered trhough Microsoft Excel 2013 and related technologies

Lessons

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

Lab : Self-Service BI with Excel

After completing this module , you will be able to :

  • Use PowerPivot to create tabular data models in Excel
  • Share a 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 visualisations 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

 

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.

Lessons 

  • Overview of Cloud Computing
  • Microsoft Azure Services for Data 

Lab : Using 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

 

Module 14 : Microsoft Azure 

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

Lessons 

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

Lab : Using Microsoft Azure SQL Database

After completing this module , you will be able to :

  • Describe key features and benefits of Microosft Azure SQL Database
  • Implement security for Microsoft Azure SQL Database
  • Implement and manage databases in Microsoft Azure SQL Database

 

Module 15 : SQL Server in Microsoft Azure 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.

Lessons

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

Lab : Using Microsoft Azure  Virtual Machines

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

 

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.

Lessons

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

Lab : Creating a Big Data Solution

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.

Course ID: MS10977


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