10977 Updating Your SQL Server Skills to Microsoft® SQL Server® 2014

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Overview

This 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.

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.

Audience

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.

Syllabus

Introduction to SQL Server 2014

  • 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

What’s New in SQL Server Database Development

  • 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

In-Memory Database Capabilities

  • The Buffer pool Extension
  • Columnstore Indexes
  • Memory-Optimized Tables
  • Lab : Using In-Memory Database Capabilities

Scripting SQL Server 2014

  • New and Enhanced Dynamic Management Views
  • Using PowerShell to Manage SQL Server
  • Lab : Managing SQL Server with Scripts

Implementing Security in Microsoft SQL Server 2014

  • Security Management Enhancements
  • Contained Databases
  • Lab : Implementing Security

High Availability and Data Recovery Enhancements

  • AlwaysOn High Availability
  • Enhancements to Data Recovery
  • Lab : Using AlwaysOn Availability Groups

New and Enhanced Features in SQL Server Integration Services

  • Using the CDC Control Task for Incremental Data Loads
  • Deploying and Operating SSIS Packages
  • Lab : Using SQL Server Integration Services

Data Quality Services

  • Introduction to Data Quality
  • Using Data Quality Services to Cleanse Data
  • Using Data Quality Services to Match Data
  • Lab : Cleansing Data
  • Lab : Deduplicating Data

Master Data Services

  • 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

SQL Server 2014 Reporting Services

  • Reporting Services Overview
  • Reporting Services and Microsoft SharePoint Server
  • Introduction to Data Alerts
  • Lab : Using SQL Server 2014 Reporting Services

Implementing an Analysis Services Tabular Data Model

  • 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

Self-Service BI with Microsoft Excel

  • 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

Introduction to Cloud Data Solutions

  • Overview of Cloud Computing
  • Microsoft Azure Services for Data
  • Lab : Using Microsoft Azure

Microsoft Azure SQL Database

  • Introduction to Microsoft Azure SQL Database
  • Microsoft Azure SQL Database Security
  • Implementing and Managing Databases
  • Lab : Using Microsoft Azure SQL Database

SQL Server in Microsoft Azure Virtual Machines

  • 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

Implementing Big Data Solutions

  • 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

Training provider

Teaching mode: Classroom - Instructor Led
Duration: 5 days
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Top skills covered in this course

Microsoft SQL Server
Australia
This skill has an average salary of
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1.36%
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Analysis
Australia
This skill has an average salary of
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High availability
Australia
This skill has an average salary of
AU$105,596
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0.17%
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SharePoint
Australia
This skill has an average salary of
AU$100,869
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