Microsoft SQL Server Business Intelligence

Developers, analysts and business users need to quickly analyse large amounts of data, get insight into that data, retrieve hidden knowledge inside it, and report against various data sources professionally and effectively. This course will enable them to do this with SQL Server Business Intelligence.

After completing this course candidates will be able to:

• Make existing data work harder for them
• Integrate diverse data stores to a single repository
• Transform raw data to business intelligence
• Create eloquent reports from raw data.

Before attending this course, students must have:

• An understanding of relational database concepts
• Experience of querying a relational database
• A fundamental understanding of reporting and analysis

Module 1: Introduction to SQL Server Reporting Services – SSRS

• Overview of SSRS

• Installing Reporting Services

• The Reporting Lifecycle

• Highlights of Reporting Services

• Reporting Services Scenarios

• Reporting Services Developer Tools

Module 2: Authoring Basic Reports

• Creating a Basic Table Report

• Report Definition Language

• Accessing Data

• Formatting Report Pages

• Headers and Footers

• Calculating Values

• Common Aggregate Functions

Module 3: Enhancing Reports

• Interactive Navigation

• Use Show/Hide to Provide Drill-Down

• Navigate From Report To Report Using Links

• Working with Data Regions

• Using Report Manager

• Distribute and Manage Published Reports

Module 4: Introduction to SQL Server Integration Services – SSIS

• What Is SSIS?

• When to Use SSIS?

• SSIS Architecture

• Integration Services Scenarios

• Integration Services Developer Tools

• Control Flow and Design Flow

• Design Surfaces

• Migrating data across Excel, Flat Files, XML and database providers

• Adding Tasks to a Package

Module 5: SSIS Going Further

• Building a Package

• Troubleshooting a Package

• Deploying a Package to the SSIS Server

• Scheduling a Package with SQL Server Agent

• Securing a Package in Management Studio

• Using Variables, Event Handlers and Configurations

Module 6: Introduction to SQL Server Analysis Services – SSAS

• What Is SSAS?

• When to Use SSAS?

• SSAS Architecture

• Analysis Services Tools

• Understanding Fact and Dimension tables

Module 7: SSAS Going Further

• Creating an Analysis Services Project in Visual Studio

• Fact and Dimension Tables

• Creating a Data Source

• Creating a Data Source View

• Creating a Cube Object Definition

• Deploy Definitions to OLAP Server and Load in Data

• Browse a Cube to Query Data

• Creating Key Performance Indicators (KPI's) to Give Meaning to Data