IT TRAINING

Microsoft 10977 – Updating Your SQL Server 2008 Skills to Microsoft SQL Server 2014

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

Who needs to attend

Who needs to attend?
This course is aimed at database and business intelliegence professionals familiar with SQL Server 2008 that desire to update their skills.

what you will learn

What you will learn

Upon completion you will know how to:

  • 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
Prerequisites

Prerequisites

Students need to have:

  • 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

Course Outline

Module 1: Introduction to SQL Server 2014This 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 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.

Module 2: What’s New in SQL Server Database DevelopmentThis 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 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.

Module 3: In-Memory Database CapabilitiesThis 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 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.

Module 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

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 2014This module describes the enhancements to security features since SQL Server 2008.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 EnhancementsThis 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 in SQL Server Integration ServicesThis module describes enhancements to SQL Server Integration Services since 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 ServicesThis 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.Lessons

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

Lab : Cleansing DataLab : Deduplicating 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.

Module 9: Master Data ServicesThis 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 ServicesThis 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 ModelThis 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 to Analysis Services Tabular Data Model Projects
Creating a Tabular Model
Using an Analysis 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 ExcelThis module introduces the self-service BI capabilities that can be delivered through 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 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.

Module 13: Introduction to Cloud Data SolutionsThis 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 SQL DatabaseThis module introduces Microsoft Azure SQL Database, a Platform-as-a-Service (PaaS) solution for cloud-based relational database storage.Lessons

Introduction to Microsoft Azure SQL Database
Microsoft 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 Microsoft 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 Virtual MachinesThis 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 and Security
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 SolutionsThis 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.

Follow on
There are no follow-ons for this course.

Certification programs
There are no certifications associated with this course.