MOC 10977 - Upgrading Your SQL Server Skills to Microsoft SQL Server 2014

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Overview

This five-day Upgrading Your SQL Server Skills to Microsoft SQL Server 2014 instructor-led training class provides existing SQL Server 2008 database professionals with the knowledge and skills to use new and enhanced capabilities in SQL Server 2014. The course covers the major advancements made in the SQL Server platform since SQL Server 2008, including new features in the SQL Server 2014 release.

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.

Goals
  1. Learn to describe key features and capabilities of SQL Server 2014.
  2. Learn to leverage new and enhanced features to develop database in SQL Server 2014.
  3. Learn to use in-memory database capabilities in SQL Server 2014.
  4. Learn to manage SQL Server 2014 by using dynamic management views and PowerShell.
  5. Learn to implement security in SQL Server 2014.
  6. Learn to implement high-availability and data recovery techniques in SQL Server 2014.
  7. Learn to use SQL Server 2014 Integration Services.
  8. Learn to use SQL Server 2014 Data Quality Services.
  9. Learn to use SQL Server 2014 Master Data Services.
  10. Learn to manage SQL Server 2012 Agent and Jobs.
  11. Learn to implement a tabular data model in SQL Server 2014 Analysis Services.
  12. Learn to implement a Self-Service BI solution with Microsoft Excel 2013.
  13. Learn to describe key elements of cloud solutions for data.
  14. Learn to implement a database in Windows Azure SQL Database.
  15. Learn to implement a SQL Server database in a Windows Azure virtual machine.
  16. Learn to implement a Big Data solution with Windows Azure HDInsight and the Windows Azure Marketplace.
Outline
  1. Introduction to SQL Server 2014
    1. Overview of SQL Server 2014
    2. SQL Server 2014 Editions and Components
    3. Installing SQL Server 2014
    4. Enhancements to SQL Server Management Studio
    5. Lab: Exploring SQL Server 2014
      1. Reviewing Installed Components
      2. Using SQL Server Management Studio
  2. What’s New in SQL Server Database Development
    1. Transact-SQL Enhancements
    2. New and Enhanced Transact-SQL Functions
    3. Enhancements to Spatial Data Support
    4. Storing and Querying Documents with SQL Server 2014
    5. Lab: Developing SQL Server 2014 Databases
      1. Using Sequence Objects
      2. Using the THROW statement
      3. Implementing Paging
      4. Querying Documents
  3. In-Memory Database Capabilities
    1. The Buffer pool Extension
    2. Columnstore Indexes
    3. Memory-Optimized Tables
    4. Lab: Using In-Memory Database Capabilities
      1. Enabling the Buffer Pool Extension
      2. Creating Columnstore Indexes
      3. Working with Memory-Optimized Tables
  4. Scripting SQL Server 2014This lesson describes how you can use dynamic management views and PowerShell to script administrative tasks in SQL server 2014.Lessons
    1. New and Enhanced Dynamic Management Views
    2. Using PowerShell to Manage SQL Server
    3. Lab: Managing SQL Server with Scripts
      1. Using Dynamic Management Views
      2. Using PowerShell
  5. Implementing Security in Microsoft SQL Server 2014
    1. Security Management Enhancements
    2. Contained Databases
    3. Lab: Implementing Security
      1. Implementing User-Defines Server Roles
      2. Implementing Contained Databases
  6. High Availability and Data Recovery Enhancements
    1. AlwaysOn High Availability
    2. Enhancements to Data Recovery
    3. Lab: Using AlwaysOn Availability Groups
      1. Creating an AlwaysOn Availability Group
      2. Using an AlwaysOn Availability Group
      3. Observing Availability Group Failover Behavior
  7. New and Enhanced Features in SQL Server Integration Services
    1. Using the CDC Control Task for Incremental Data Loads
    2. Deploying and Operating SSIS Packages
    3. Lab: Using SQL Server Integration Services
      1. Extracting Modified Data
      2. Deploying and Operating an SSIS Project
  8. Data Quality Services
    1. Introduction to Data Quality
    2. Using Data Quality Services to Cleanse Data
    3. Using Data Quality Services to Match Data
    4. Lab: Cleansing Data
      1. Creating a DQS Knowledge Base
      2. Using a DQS Project to Cleanse Data
      3. Using DQS in an SSIS Package
    5. Lab: Deduplicating Data
      1. Creating a Matching Policy
      2. Using a DQS Project to Match Data
  9. Master Data Services
    1. Introduction to Master Data Services
    2. Implementing a Master Data Services Model
    3. Using the Master Data Services Add-in for Excel
    4. Lab: Implementing Master Data Services
      1. Creating a Basic Model
      2. Editing a model by Using the Master Data Services Add-in for Excel
      3. Loading Data into a Model
      4. Enforcing Business Rules
      5. Consuming Master Data Services Data
  10. SQL Server 2014 Reporting Services
    1. Reporting Services Overview
    2. Reporting Services and Microsoft SharePoint Server
    3. Introduction to Data Alerts
    4. Lab: Using SQL Server 2014 Reporting Services
      1. Viewing SharePoint Mode Configuration
      2. Authoring, Publishing, and Viewing a Report
      3. Creating and Managing Data Alerts
  11. Implementing an Analysis Services Tabular Data Model
    1. Introduction to Analysis Services Tabular Data Model Projects
    2. Creating a Tabular Model
    3. Using an Analysis Services Tabular Data Model in the Enterprise
    4. Lab: Working with an Analysis Services Tabular Data Model
      1. Creating an Analysis Services Tabular Data Model Project
      2. Configuring Columns and Relationships
      3. Using Custom DAX Expressions
      4. Deploying an Analysis Services Tabular Data Model
  12. Self-Service BI with Microsoft Excel
    1. PowerPivot for Excel
    2. PowerPivot for SharePoint Server
    3. Power Query
    4. Power View
    5. Power Map
    6. Power BI for Office 365
    7. Lab: Self-Service BI with Excel
      1. Creating a Data Model with PowerPivot
      2. Importing Data with Power Query
      3. Visualizing Data with Power View
      4. Visualizing Geographic Data with Power Map
  13. Introduction to Cloud Data Solutions
    1. Overview of Cloud Computing
    2. Windows Azure Services for Data
    3. Lab: Using Windows Azure
      1. Creating a Windows Azure Storage Account
      2. Backing Up a Database to Windows Azure
  14. Windows Azure SQL Database
    1. Introduction to Windows Azure SQL Database
    2. Windows Azure SQL Database Security
    3. Implementing and Managing Databases
    4. Lab: Using Windows Azure SQL Database
      1. Provisioning Windows Azure SQL Database
      2. Configuring Windows Azure SQL Database Security
      3. Migrating a SQL Server Database to Windows Azure SQL Database
  15. SQL Server in Windows Azure Virtual Machines
    1. Introduction to Windows Azure Virtual Machines
    2. Windows Azure Virtual Machine Connectivity and Security
    3. Creating Databases in a Windows Azure Virtual Machine
    4. Lab: Using Windows Azure Virtual Machines
      1. Creating a Windows Azure Virtual Machine
      2. Configuring Virtual Machine Security and Connectivity
      3. Creating Databases on a Virtual Machine
  16. Implementing Big Data Solutions
    1. Introduction to Big Data
    2. Windows Azure HDInsight
    3. Consuming HDInsight Results in Excel
    4. Obtaining Data from the Windows Azure Marketplace
    5. Lab: Creating a Big Data Solution
      1. Provisioning an HDInsight Cluster
      2. Processing Data with HDInsight
      3. Analyzing Big Data in Excel
      4. Obtaining Data from the Windows Azure Marketplace
Class Materials

Each student in our Live Online and our Onsite classes receives a comprehensive set of materials, including course notes and all the class examples.

Class Prerequisites

Experience in the following is required for this SQL Server class:

  • 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.
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