Updating Your SQL Server Skills to Microsoft SQL Server 2014 Training Course
Course 10977
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Your satisfaction is our top priority
"Instructor was well prepared and comfortable presenting the material. He was also able to share a fair amount of knowledge on related topics relevant to several key initiatives which was helpful to me professionally as well as provide guidance on Microsoft certification options."
-Debbie K.
View more testimonials >
"Instructor was well prepared and comfortable presenting the material. He was also able to share a fair amount of knowledge on related topics relevant to several key initiatives which was helpful to me professionally as well as provide guidance on Microsoft certification options."
-Debbie K.
View more testimonials >
Course Overview
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. Audience
The primary audience for Course 10977: Updating Your SQL Server Skills to Microsoft SQL Server 2014 includes 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 Outline
Module 1: Introduction to SQL Server 2014 This module introduces key features of SQL Server 2014. Lessons
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. Lessons
Module 3: In-Memory Database Capabilities This module describes how SQL server 2014 enables you to leverage in-memory technologies to enhance database performance. Lessons
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. Lessons
Module 5: Implementing Security in Microsoft SQL Server 2014 This module describes the enhancements to security features since SQL Server 2008. Lessons
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
Module 7: New and Enhanced Features in SQL Server Integration Services This module describes enhancements to SQL Server Integration Services since SQL Server 2008. Lessons
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. Lessons
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
Module 10: SQL Server 2014 Reporting Services This module describes new and enhanced features in SQL Server Reporting Services. Lessons
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
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. Lessons
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
Module 14: Windows Azure SQL Database This module introduces Windows Azure SQL Database, a Platform-as-a-Service (PaaS) solution for cloud-based relational database storage. Lessons
Module 15: SQL Server in Windows Azure Virtual Machines This module explores how you can use Windows Azure virtual machines in which SQL Server is installed to create a cloud-based solution for data. Lessons
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 Windows Azure HDInsight and the Windows Azure Marketplace as core elements of the Microsoft solution for big data. Lessons
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