Save 20% off your training this summer, book before 5pm July 5th - See details here

Duration:
Only 3 days
Study Mode:
Classroom / Online / Classroom or Online
Next Date:
01/10/2024 (Tuesday)

Overview

Learn 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 you how to use SQL Server 2014 product features and other Microsoft data platform components.

As a database or business intelligence professional, you'll learn the skills needed to make the most of the the new features of SQL Server 2014. Plus, become familiar with related Microsoft data technologies such as: Windows Azure, Excel 2013 and PowerBI for Office365.

Benefits

This course gives database and business intelligence (BI) professionals the skills to utilise the new features of SQL Server 2014, and become familiar with related Microsoft data technologies such Windows Azure, Excel 2013 and PowerBI for Office365.

Curriculum

Introduction to SQL Server 2014

Learn key features of SQL Server 2014.

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

What’s New in SQL Server Database Development

Find out more about enhancements to Transact-SQL and other database development features since SQL Server 2008.

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

In-Memory Database Capabilities

Learn how SQL server 2014 enables you to leverage in-memory technologies to enhance database performance.

  • The Buffer pool Extension
  • Columnstore Indexes
  • Memory-Optimized Tables

Scripting SQL Server 2014

How to use dynamic management views and PowerShell to script administrative tasks in SQL server 2014.

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

Implementing Security in Microsoft SQL Server 2014

Learn about the enhancements to security features since SQL Server 2008.

  • Security Management Enhancements
  • Contained Databases

High Availability and Data Recovery Enhancements

Learn about the enhancements to SQL Server availability and data recovery features since SQL Server 2008.

  • Always On High Availability
  • Enhancements to Data Recovery

New and Enhanced Features in SQL Server Integration Services

Learn about enhancements to SQL Server Integration Services since SQL Server 2008.

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

Data Quality Services

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.

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

Master Data Services

Learn about Master Data Services, its key configuration options and how to import and export data.

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

SQL Server 2014 Reporting Services

Learn about the new and enhanced features in SQL Server Reporting Services.

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

Implementing an Analysis Services Tabular Data Model

Learn about 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.

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

Self-Service BI with Microsoft Excel

Learn about the self-service BI capabilities that can be delivered through Microsoft Excel 2013 and related technologies.

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

Introduction to Cloud Data Solutions

Some of the key Microsoft technologies that you can use to implement a cloud solution for data.

  • Overview of Cloud Computing
  • Windows Azure Services for Data

Windows Azure SQL Database

An introduction to Windows Azure SQL Database, a Platform-as-a-Service (PaaS) solution for cloud-based relational database storage.

  • Introduction to Windows Azure SQL Database
  • Windows Azure SQL Database Security
  • Implementing and Managing Databases

SQL Server in Windows Azure Virtual Machines

How you can use Windows Azure virtual machines in which SQL Server is installed to create a cloud-based solution for data.

  • Introduction to Windows Azure Virtual Machines
  • Windows Azure Virtual Machine Connectivity and Security
  • Creating Databases in a Windows Azure Virtual Machine

Implementing Big Data Solutions

Learn 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.

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

What's Included

Microsoft Official Curriculum

  • MOC 10977B: Updating your SQL Server Skills to Microsoft SQL Server 2014.

Prerequisites

Before attending this course, you must have:

  • 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, Microsoft SharePoint Server 2013 and financial accounting is recommended.

Course Dates


Start
Finish
Status
Study Mode
Prices
01/10/2024 (Tue)
03/10/2024 (Thu)
Open
Classroom
30/12/2024 (Mon)
01/01/2025 (Wed)
Open
Classroom
01/04/2025 (Tue)
03/04/2025 (Thu)
Open
Classroom
01/07/2025 (Tue)
03/07/2025 (Thu)
Open
Classroom