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  • Course Details Database

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MOC 20467C - Designing Self-Service Business Intelligence and Big Data Solutions

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Course duration

  • 5 Days

Course Outline

Designing Self-Service Business Intelligence and Big Data Solutions

This five-day instructor-led course teaches students how to empower information workers through self-service analytics and reporting. Students will learn how to use Microsoft SQL Server Reporting Services, Microsoft Excel, and Microsoft Office 365 to deliver a self-service BI solution, and how to use Microsoft Windows Azure HDInsight to incorporate Big Data analysis into a BI scenario. Microsoft Azure and Office 365 are required or used as part of the lab for this course, which may not be available in all countries. Please check with your Microsoft training provider that this cloud service is available in your area. Training Providers please reference the course setup guide for more details.

This course maps to skills and knowledge measured by Microsoft Exam 70-467, and in conjunction with on-the-job experience, can help prepare you for the exam.

This course is intended for BI professionals such as BI Architects or database professionals who need to design BI solutions. BI Architects are responsible for the overall design of the BI infrastructure, including how it relates to other data systems in use. In addition, their responsibilities include Online Analytical Processing (OLAP) cube design and integration with Microsoft SharePoint or line-of-business applications.

  • Learn to plan the components of a BI solution.
  • Learn to plan a BI infrastructure.
  • Learn to design a data warehouse.
  • Learn to design an ETL solution.
  • Learn to plan analytical data models.
  • Learn to plan a BI delivery solution.
  • Learn to design a Reporting Services solution.
  • Learn to design an Excel reporting solution.
  • Learn to plan a SharePoint Server BI solution.
  • Learn to monitor and optimize a BI solution.
  • Learn to plan for BI operations.
  • The ability to create Integration Services packages that include control flows and data flows.
  • The ability to create a basic multidimensional cube with Analysis Services.
  • The ability to create a basic tabular model with PowerPivot and Analysis Services.
  • The ability to create Reporting Services reports with Report Designer.
  • The ability to implement authentication and permissions in the SQL Server database engine, Analysis Services, and Reporting Services.
  • Familiarity with SharePoint Server and Microsoft Office applications, particularly Excel.
  1. Planning a BI Solution
    1. Elements of a BI Solution
    2. The Microsoft BI Platform
    3. Planning a BI Project
    4. Lab: Planning a BI Solution
      1. Scoping a BI Solution
      2. Determining Software Requirements
  2. Planning SQL Server Business Intelligence Infrastructure
    1. Considerations for BI Infrastructure
    2. Planning Data Warehouse Hardware
    3. Lab: Planning a BI Infrastructure
      1. Planning Server Topology
      2. Planning Data Warehouse Server Hardware
  3. Designing a Data Warehouse
    1. Data Warehouse Design Overview
    2. Designing Dimension Tables
    3. Designing Fact Tables
    4. Designing a Data Warehouse Physical Implementation
    5. Lab: Designing a Data Warehouse Logical Schema
      1. Identifying Business Processes and Dimensions
      2. Designing Dimension Models and Data Warehouse Tables
    6. Lab: Designing a Data Warehouse Physical Implementation
      1. Designing File Storage
      2. Designing Warehouse Data Structures
  4. Designing an ETL Solution
    1. ETL Overview
    2. Planning Data Extraction
    3. Planning Data Transformation
    4. Planning Data Loads
    5. Lab: Designing an ETL Solution
      1. Preparing for ETL Design
      2. Creating Source-to-Target Documentation
      3. Using SSIS To Load a Partitioned Fact Table
  5. Designing Analytical Data Models
    1. Introduction to Analytical Data Models
    2. Designing an Analytical Data Model
    3. Designing Dimensions
    4. Enhancing Data Models
    5. Lab: Comparing Analytical Data Models
      1. Creating a Multidimensional Data Model
      2. Creating a Tabular Data Model
    6. Lab: Designing Dimensions and Hierarchies
      1. Creating Dimensions in a Multidimensional Data Model
      2. Creating Dimensions in a Tabular Data Model
    7. Lab: Enhancing Analytical Data Models
      1. Enhancing a Multidimensional Data Model
      2. Enhancing a Tabular Data Model
  6. Planning a BI Delivery Solution
    1. Considerations for Delivering BI
    2. Common Reporting Scenarios
    3. Choosing a Reporting Tool
    4. Lab: Planning a BI Delivery Solution
      1. Assessing Reporting Requirements
  7. Designing a Reporting Services Solution
    1. Planning a Reporting Services Solution
    2. Designing Reports
    3. Planning Report Consistency
    4. Lab: Designing a Reporting Services Solution
      1. Designing a Reporting Environment
      2. Creating Reusable Report Item
      3. Creating Reports
  8. Designing a Microsoft Excel-Based Reporting Solution
    1. Using Excel for Data Analysis and Reporting
    2. PowerPivot for Excel
    3. Power View for Excel
    4. Lab: Designing an Excel Reporting Solution
      1. Planning Excel Features
      2. Analyzing a Cube with Excel
      3. Creating a PowerPivot Workbook
      4. Using Power View in Excel
  9. Planning a SharePoint Server BI Solution
    1. Introduction to SharePoint Server as a BI Platform
    2. Planning Security for a SharePoint Server BI Solution
    3. Planning Reporting Services Configuration
    4. Planning PowerPivot Configuration
    5. Planning for PerformancePoint Services
    6. Lab: Implementing a SharePoint Server BI Solution
      1. Creating a SharePoint Server Site for BI
      2. Configuring Reporting Services in SharePoint Server
      3. Configuring PowerPivot for SharePoint
    7. Lab: Implementing a PerformancePoint Services
      1. Creating a PerformancePoint Dashboard
  10. Monitoring and Optimizing a BI Solution
    1. Overview of BI Monitoring
    2. Monitoring and Optimizing the Data Warehouse
    3. Monitoring and Optimizing Analysis Services
    4. Monitoring and Optimizing Reporting Services
    5. Lab: Monitoring and Optimizing a BI Solution
      1. Monitoring and Optimizing a Data Warehouse
      2. Monitoring and Optimizing Analysis Services
      3. Monitoring and Optimizing Reporting Services
  11. Operating a BI Solution
    1. Overview of BI Operations
    2. ETL Operations
    3. Data Warehouse Operations
    4. Analysis Services Operations
    5. Reporting Services Operations
    6. Lab: Operating a BI Solution
      1. Configuring SQL Server Integration Services
      2. Automate Data Warehouse Load Tasks
      3. Test Automated Operations

InterSource Geneva, a premier Information Technology training firm, offers over 400 different courses on server, database and programming technologies, as well as end-user classes for the most popular office, graphics and design applications. We serve clients in Switzerland (Geneva, Lausanne, Bern, Basel, Zurich) and throughout Europe (France, Germany, Austria, Finland, Sweden, England, Netherlands, Spain, etc.).


InterSource offers custom, private courses at client sites, standard public courses in our Geneva classroom, and online training via live Web conference. Training is offered in English and many other languages (Francais, Deutsch, Espanol, Italiano.)


For an overall view of our offerings, please visit us at www.intersource.ch.