Download PDF
of this course

MS20466 - Implementing Data Models and Reports with SQL Server 2014 (MS20466)

  • Overview
  • Who Should Attend
  • Certifications
  • Prerequisites
  • Objectives
  • Content
  • Schedule
Course Overview

Duration: 5 Days

The focus of this five-day instructor-led course is on creating managed enterprise BI solutions. It describes how to implement multidimensional and tabular data models, deliver reports with Microsoft® SQL Server® Reporting Services, create dashboards with Microsoft SharePoint Server PerformancePoint Services, and discover business insights by using data mining.

Note: This course is designed for customers who are interested in learning SQL Server 2012 or SQL Server 2014. It covers the new features in SQL Server 2014, but also the important capabilities across the SQL Server data platform.

Who Should Attend

This course is intended for database professionals who need to fulfill a Business Intelligence Developer role to create analysis and reporting solutions. Primary responsibilities include:

  • Implementing analytical data models, such as OLAP cubes.

  • Implementing reports, and managing report delivery.

  • Creating business performance dashboards.

  • Supporting data mining and predictive analysis.

Course Certifications

This course is part of the following Certifications:

Prerequisites

This course requires that you meet the following prerequisites:

  • At least 2 years’ experience of working with relational databases, including:

  • Designing a normalized database.

  • Creating tables and relationships.

  • Querying with Transact-SQL.

  • Some basic knowledge of data warehouse schema topology (including star and snowflake schemas).

  • Some exposure to basic programming constructs (such as looping and branching).

  • An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.

Course Objectives

After completing this course, students will be able to:

  • Describe the components, architecture, and nature of a BI solution.

  • Create a multidimensional database with Analysis Services.

  • Implement dimensions in a cube.

  • Implement measures and measure groups in a cube.

  • Use MDX Syntax.

  • Customize a cube.

  • Implement a Tabular Data Model in SQL Server Analysis Services.

  • Use DAX to enhance a tabular model.

  • Create reports with Reporting Services.

  • Enhance reports with charts and parameters.

  • Manage report execution and delivery.

  • Implement a dashboard in SharePoint Server with PerformancePoint Services.

  • Use Data Mining for Predictive Analysis.

Course Content

Module 1: Introduction to Business Intelligence and Data ModelingAs a SQL, Server database professional, you may be required to participate in, or perhaps even lead, a project with the aim of implementing an effective enterprise BI solution. Therefore, it is important that you have a good understanding of the various elements that comprise a BI solution, the business and IT personnel typically involved in a BI project, and the Microsoft products that you can use to implement the solution.Lessons

  • Introduction to Business Intelligence
  • The Microsoft Enterprise BI Platform

Lab :Exploring a BI Solution

After completing this module, you will be able to:

  • Describe the elements of a typical BI solution.
  • Select appropriate Microsoft technologies for a BI solution.

  • Describe key considerations for planning a BI project.

Module 2: Creating Multidimensional DatabasesThis module provides an introduction to multidimensional databases and introduces the core components of an Online Analytical Processing (OLAP) cube.Lessons

  • Introduction to Multidimensional Analysis
  • Creating Data Sources and Data Source Views
  • Creating a Cube
  • Overview of Cube Security

Lab :Creating a Multidimensional Database

After completing this module, you will be able to:

  • Describe the considerations for a multidimensional database.
  • Create data sources and data source views.

  • Create a cube.

  • Implement security in a multidimensional database.

Module 3: Working with Cubes and DimensionsThis module describes how to create and configure dimensions and dimension hierarchies in an Analysis Services multidimensional data model.Lessons

  • Configuring Dimensions
  • Defining Attribute Hierarchies
  • Sorting and Grouping Hierarchies

Lab :Working with Cubes and Dimensions

After completing this module, you will be able to:

  • Configure dimensions.
  • Define attribute hierarchies.

  • Sort and group attributes.

Module 4: Working with Measures and Measure GroupsThis module describes measures and measure groups. It also explains how you can use them to define fact tables and associate dimensions with measures.Lessons

  • Working with Measures
  • Working with Measure Groups

Lab :Configuring Measures and Measure Groups

After completing this module, you will be able to:

  • Configure measures.
  • Configure measure groups.

Module 5: Introduction to MDXThis module describes the fundamentals of MDX and explains how to build calculations, such as calculated members and named sets.Lessons

  • MDX Fundamentals
  • Adding Calculations to a Cube
  • Using MDX to Query a Cube

Lab :Using MDX

After completing this module, you will be able to:

  • Describe MDX.
  • Add calculations to a cube.

  • Describe how to use MDX in client applications.

Module 6: Customizing Cube FunctionalityThis module describes how to enhance a cube with Key Performance Indicators (KPIs), actions, perspectives, and translations.Lessons

  • Implementing Key Performance Indicators
  • Implementing Actions
  • Implementing Perspectives
  • Implementing Translations

Lab :Customizing a Cube

After completing this module, you will be able to:

  • Implement Key Performance Indicators.
  • Implement Actions.

  • Implement Perspectives.

  • Implement Translations.

Module 7: Implementing an Analysis Services Tabular Data ModelThis module describes Analysis Services tabular data models and explains how to develop a tabular data model using the SQL Server Data Tools for Business Intelligence (BI) add-in for Visual Studio.Lessons

  • Introduction to Tabular Data Models
  • Creating a Tabular Data Model
  • Using an Analysis Services Tabular Data Model in an Enterprise BI Solution

Lab :Implementing 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 8: Introduction to Data Analysis Expression (DAX)This module explains the fundamentals of the DAX language. It also explains how you can use DAX to create calculated columns and measures, and how you can use them in your tabular data models.Lessons

  • DAX Fundamentals
  • Using DAX to Create calculated Columns and Measures in a Tabular Data Model

Lab :Creating Calculated Columns and Measures by using DAX

After completing this module, you will be able to:

  • Describe the fundamentals of DAX.
  • Use DAX to create calculated columns and measures.

Module 9: Implementing Reports with SQL Server Reporting ServicesThis module introduces Microsoft SQL Server Reporting Services and discusses the tools and techniques that a professional BI developer can use to create and publish reports.Lessons

  • Introduction to Reporting Services
  • Creating a Report with Report Designer
  • Grouping and Aggregating Data in a Report

Course ID: MS20466

5 Days Course
SGD 3500.00
 
Singapore

Show Schedule for 1 Month  3 Months  All 
Date Country Location Register
04 Jun 2018 - 08 Jun 2018 Singapore Singapore