อบรม Designing Business Intelligence Solutions with Microsoft SQL Server 2008, 2012, 2014 Database สอนโดยมืออาชีพ

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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
  • Elements of an Enterprise BI Solution The Microsoft Enterprise BI Platform Planning an Enterprise BI Project
  • Lab : Exploring a BI Solution
  • Exploring the Data Warehouse Exploring the Analysis Services Data Model Exploring Reports 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 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
  • Creating a Data Source Creating and Modifying a Data Source View Creating and Modifying a Cube Adding a Dimension 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 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 : Defining Dimensions
  • Configuring Dimensions and Attributes Creating Hierarchies Creating a Hierarchy with Attribute Relationships Creating a Ragged Hierarchy Browsing Dimensions and Hierarchies in a Cube 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 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
  • Configuring Measures Defining a Regular Relationship Configuring Measure Group Storage After completing this module, you will be able to: Configure measures Configure 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
  • Creating Calculated Members Querying a Cube by 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: Enhancing a Cube

This module describes how to enhance a cube with Key Performance Indicators (KPIs), actions, perspectives, and translations.

  • Lessons
  • Working with Key Performance Indicators Working with Actions Working with Perspectives Working with Translations
  • Lab : Customizing a Cube
  • Implementing an Action Implementing Perspectives Implementing a Translation 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 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 Analysis Services Tabular Data Models Creating a Tabular Data Model Using an Analysis Services Tabular Data Model in the Enterprise
  • Lab : Implementing an Analysis Services Tabular Data Model
  • Creating an Analysis Services Tabular Data Model Project Configuring Columns and Relationships Deploying 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 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 Enhancing a Tabular Data Model with DAX
  • Lab : Using DAX to Enhance a Tabular Data Model
  • Creating Calculated Columns Creating Measures Creating a KPI Implementing a Parent-Child Hierarchy 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 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 Publishing and Viewing a Report
  • Lab : Creating a Report with Report Designer
  • Creating a Report Grouping and Aggregating Data Publishing a Report After completing this module, you will be able to: Describe the key features of Reporting Services Use Report Designer to create a report Group and aggregate data in a report Publish and view a report

Module 10: Enhancing Reports with SQL Server Reporting Services

This module describes how to enhance a SQL Server reporting Services report with charts and other visualizations, and how to use parameters to filter data in a report.

  • Lessons
  • Showing Data Graphically Filtering Reports by Using Parameters
  • Lab : Enhancing a Report
  • Adding a Chart to a Report Adding Parameters to a Report Using Data Bars and Sparklines Using a Map After completing this module, you will be able to: Use charts and other visualizations to show data graphically in a report Use parameters to filter data in a report

Module 11: Managing 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 Subscriptions and Data Alerts Troubleshooting Reporting Services
  • Lab : Configuring Report Execution and Delivery
  • Configuring Report Execution Implementing a Standard Subscription Implementing a Data-Driven Subscription After completing this module, you will be able to: Configure security settings for a report server. Configure report execution settings to optimize performance. Use subscriptions and alerts to automate report and data delivery. Troubleshoot reporting issues

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 Creating a Data Mining Solution Validating a Data Mining Model Consuming Data Mining Data
  • Lab : Using Data Mining to Support a Marketing Campaign
  • Using Table Analysis Tools Creating a Data Mining Structure Adding a Data Mining Model to a Data Mining Structure Validating a Data Mining Model Using a Data Mining Model in a Report After completing this module, you will be able to: Describe the key data mining concepts and use the Data Mining Add-ins for Excel Create a data mining solution Validate data mining models Use data mining data in a report

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