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Microsoft MCSE: Business Intelligence (SQL Server)

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  • Microsoft MCSE: Business Intelligence (SQL Server)
    6 days  (Instructor Led Online)  |  Microsoft MCSE

    Course Details

    With the Microsoft MCSE: Business Intelligence (SQL Server) course you will learn how to implement a Business Intelligence platform for Microsoft SQL Server.

    In this course, you will learn how to implement and design data models, create reports and visualisations – using SQL Server Reporting Services, SharePoint and Excel. You’ll also learn key skills to work with Windows Azure HD Insight and manage unstructured data.

     

    The correspondent exam, MB-200: Microsoft Dynamics 365 customer engagement Online Deployment was updated in November 2019. Click here to see what changed.

     

    See other Microsoft courses

    Objectives

    Learn how to create a data warehouse with SQL Server 2014, and also find out more about:

    • Implementing multi-dimensional models
    • Implementing tabular data models
    • Querying with MDX and DAX
    • Creating and managing reports
    • Visualising data with Excel
    • Delivering a self-service reporting environment
    • Implement and Process BigData in Windows Azure HDInsight

    Prerequisites

    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

    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 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: 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 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

    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

    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: Customising 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: Customising 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 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

    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 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

    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: 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

    After completing this module, you will be able to:

    • Configure security settings for a report server.
    • Configure report execution settings to optimise performance.
    • Use subscriptions and alerts to automate report and data delivery.
    • Troubleshoot reporting issues.

     

    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

    After completing this module, you will be able to:

    • Describe SharePoint Server as a BI platform.
    • Use PerformancePoint Services to deliver BI functionality.
    • Configure PerformancePoint Data Sources.
    • Create Reports, Scorecards, and Dashboards.

     

    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

    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.

     

    Module 13: Planning a BI Solution

    This module enables students to plan the components of a BI Solution.

    Lessons:

    • Elements of a BI Solution
    • Planning a BI Project
    • The Microsoft BI Platform

    Lab: Planning BI Solutions

    After completing this module, you will be able to:

    • Describe the components of a BI Solution.
    • Identify the components of a BI Solution.
    • Plan a BI Project.

     

    Module 14: Planning BI Infrastructure

    This module describes how to use plan appropriate BI Infrastructure with a given a set of BI Parameters.

    Lessons:

    • Considerations of BI Infrastructure
    • Planning Data Warehouse Hardware

    Lab: Planning BI Infrastructure

    After completing this module, you will be able to:

    • Describe the components of a BI Infrastructure and where you would use them.
    • Plan for the hardware requirements of a data warehouse implementation.

     

    Module 15: Designing a Data Warehouse

    This module describes how to design a data warehouse given a set of user requirements.

    Lessons:

    • Data Warehouse Design Overview
    • Designing Dimension Tables
    • Design FACT tables

    Lab: Designing a Data Warehouse Logical Schema

    After completing this module, you will be able to:

    • Design a data warehouse.
    • Design dimension tables.
    • Design Fact tables.
    • Design a logical schema for a data warehouse.

     

    Module 16: Designing an ETL solution

    This lesson describes how to design an extract, transform and load (ETL) solution.

    Lessons:

    • ETL Overview
    • Planning for Data Extraction
    • Planning for Data Transformations
    • Planning for Data Loading

    Lab: Designing an ETL Solution

    After completing this module, you will be able to:

    • Describe the components of an ETL solution.
    • Design an ETL solution.

     

    Module 17: Designing Analytical Data Models

    This module describes how to design analytical data models for specific BI scenarios.

    Lessons:

    • Introduction to Analytical Data Models
    • Designing Analytical Data Models

    Lab: Designing an Analytical Data Model Lab:

    • Designing Dimensions and Hierarchies

    After completing this module, you will be able to:

    • Describe the features of an analytical data model.
    • Design an Analytical Data Model.

     

    Module 18: Planning a BI Delivery Solution

    This module describes how to choose an appropriate delivery solution for a given scenario.

    Lessons:

    • Considerations for BI delivery
    • Common Reporting Scenarios
    • Choosing a Reporting Tool

    Lab: Planning a BI Delivery Solution

    After completing this module, you will be able to:

    • Describe the components of a BI delivery solution.
    • Describe some common reporting scenarios.
    • Choose an appropriate delivery solution for a given scenario.

     

    Module 19: Designing a Reporting Services Solution

    This module describes how to design a reporting services solution.

    Lessons:

    • Planning a Reporting Solution
    • Designing Reports
    • Planning Report Consistency

    Lab: Designing a Reporting Services Solution

    After completing this module, you will be able to:

    • Plan for a reporting Services solution
    • Design reports for reporting services solutions
    • Plan for consistency of reporting

     

    Module 20: Designing an Excel Based reporting Solution

    In this module, students will learn how to design a reporting solution using Excel.

    Lessons:

    • Using Excel for Data Reporting and Analysis
    • PowerPivot in Excel
    • Power View in Excel

    Lab: Designing and Excel Reporting Solution

    After completing this module, you will be able to:

    • Describe key features of excel reporting solutions.
    • Use PowerPivot in Excel to create reports.
    • Use Power View in excel to create reports.

     

    Module 21: Planning a SharePoint Server BI Solution

    This module introduces the use of SharePoint Server as a BI solution.

    Lessons:

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

    Lab: Implementing a SharePoint Server BI Solution Lab:

    • Implementing Performance
    • Point Services

    After completing this module, you will be able to:

    • Describe the components of a SharePoint Server BI solution.
    • Plan security for a SharePoint Server BI solution.
    • Plan reporting solutions for a SharePoint Server BI solution.
    • Describe the components of a PerformancePoint Solution.
    • Implement PerformancePoint services.

     

    Module 22: Monitoring and Optimising a BI Solution

    At the conclusion of this module, you will be able to optimise and monitor a BI solution.

    Lessons:

    • Overview of BI Monitoring
    • Monitoring and Optimising the Data Warehouse
    • Monitoring and Analysing Analysis Services
    • Monitoring and Optimising Reporting Services

    Lab: Monitoring and Optimising a BI Solution

    After completing this module, you will be able to:

    • Describe the options for monitoring and optimising a BI solution.
    • Be able to monitor and optimise a BI solution.

     

    Module 23: Operating a BI Solution

    At the conclusion of this module, you will be able to plan management and maintenance operations of a BI solution.

    Lessons:

    • Overview of BI Operations
    • ETL Operations
    • Data Warehouse Operations
    • Analysis of Services Operations
    • Reporting Services Operations

    Lab: Operating a BI Solution

    After completing this module, you will be able to:

    • Describe the components to be managed in a BI Solution.
    • Be able to manage the components of a BI solution.