20466: Implementing Data Models and Reports with Microsoft SQL Server

About this course

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.

Audience profile

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.

At course completion

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.

Module 1: Introduction to Business Intelligence and Data Modeling

As 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

Module 2: Creating Multidimensional Databases

This 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

Module 3: Working with Cubes and Dimensions

This 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

Module 4: Working with Measures and Measure Groups

This 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

Module 5: Introduction to MDX

This 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

Module 6: Customizing Cube Functionality

This 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

Module 7: Implementing an Analysis Services Tabular Data Model

This 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

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

Module 9: Implementing Reports with SQL Server Reporting Services

This 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
  • Showing Data Graphically
  • Filtering Reports Using Parameters

Lab : Creating a Report with Report Designer

Module 10: Automating Report Execution and Delivery

This module describes how to apply security and report execution settings, and how to create subscriptions to deliver reports.

Lessons

  • Managing Report Security
  • Managing Report Execution
  • Delivering Reports with Subscriptions and Data Alerts
  • Troubleshooting Reporting Services

Lab : Implementing Report Subscriptions

Module 11: Delivering BI with SharePoint PerformancePoint Services

This module introduces Microsoft SharePoint Server as a platform for BI, and then focuses on building BI dashboards and scorecards with PerformancePoint Services.

Lessons

  • Introduction to SharePoint Server as a BI Platform
  • Planning Security for a SharePoint Server BI Solution
  • Planning for PerformancePoint Services

Lab : Implementing PerformancePoint Services

Module 12: Performing Predictive Analysis with Data Mining

This module introduces data mining, describes how to create a data mining solution, how to validate data mining models, how to use the Data Mining Add-ins for Microsoft Excel, and how to incorporate data mining results into Reporting Services reports.

Lessons

  • Overview of Data Mining
  • Using the Data Mining Add-in for Excel
  • Creating a Custom Data Mining Solution
  • Validating a Data Mining Model
  • Connecting to and Consuming Data Mining Data

Lab : Using Data Mining to Support a Marketing Campaign

This course requires that you meet the following prerequisites:

  • At least 2 years’ experience of working with relational databases.
  • 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.

Auditoriniai mokymai

Pradžios data Trukmė, d. Kurso pavadinimas Kaina, € Statusas
2022-09-26 5 20761: Querying Data with Transact-SQL 1500
2022-10-03 5 20764: Administering a SQL Database Infrastructure 1500
2022-10-17 5 20767: Implementing a SQL Data Warehouse 1500
2022-09-26 4 10987: Performance Tuning and Optimizing SQL Databases 1400
Užklausti 5 20762: Developing SQL Databases 1500
2022-11-07 5 20765: Provisioning SQL Databases 1500
2022-10-26 3 10988: Managing SQL Business Intelligence Operations 1200
2022-10-17 3 20768: Developing SQL Data Models 1200
2022-11-14 3 10989: Analyzing Data with Power BI 1200
2022-10-10 5 10990: Analyzing Data with SQL Server Reporting Services 1500
Užklausti 5 Administering a SQL Database Infrastructure (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 5 Querying Data with Transact-SQL (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 3 Introduction to SQL Databases (nuotolinė klasė - ENG) 1200 Organizuojamas
Užklausti 5 Provisioning SQL Databases (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 5 Querying Microsoft SQL Server (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 5 Administering Microsoft SQL Server Databases (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 2 Querying SQL Databases Using T-SQL (nuotolinė klasė - ENG) 1100 Organizuojamas
Užklausti 2 Intermediate Querying SQL Databases Using T-SQL (nuotolinė klasė - ENG) 1100 Organizuojamas
Užklausti 5 Developing SQL Databases (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 5 Implementing a SQL Data Models and Reports with Microsoft SQL Server (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 5 Analyzing Data with SQL Server Reporting Services (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 5 Implementing a SQL Data Warehouse (nuotolinė klasė - ENG) 1500 Organizuojamas
Užklausti 5 Microsoft Business Intelligence end to end with SQL Server 2016 (nuotolinė klasė - ENG) 1500 Organizuojamas

Nuotoliniai mokymai

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