IT TRAINING

Microsoft 20467 – Designing Self-Service Business Intelligence and Big Data Solutions

In this course you will learn how to implement self-service business intelligence solutions as well as how to create self-service data models and reports by suing Microsoft SQL Server Reporting Services, Excel and SharePoint Server and with Office 365 Power BI.

Who needs to attend

Who needs to attend?
This course is aimed at database and business intelligence professionals experienced in data warehouses and enterprise business intelligence solutions built using Microsoft SQL Server technologies and data analysts that desire to learn how to use Microsoft technologies for self-service analysis and reporting.

what you will learn

What you will learn

Upon completion you will know how to:

  • Features and benefits of self-service Business Intelligence (BI)
  • Implement a self-service reporting solution using SQL Server Reporting Services
  • Create analytical data models using PowerPivot in Microsoft Excel
  • Import data into a data model using Power Query in Microsoft Excel
  • Create interactive data visualizations using Power View in Microsoft Excel
  • Create geographic data visualizations using Power Map in Microsoft Excel
  • Implement collaborative self-service BI solutions using Microsoft SharePoint Server
  • Implement cloud-based self-service BI solutions using Microsoft Office 365 Power BI
  • Big Data analysis using Windows Azure HDInsight, including Pig and Hive
  • Design and implement Big Data processes to support self-service BI
Prerequisites

Prerequisites

Students need to have:

  • Data warehousing and data modeling knowledge
  • Familiarity with Microsoft Excel and Microsoft SharePoint Server 2013
  • Or the skills and knowledge from the following courses:
  • Implementing a Data Warehouse with Microsoft SQL Server (M20463)
  • Implementing Data Models and Reports with Microsoft SQL Server (M20466)
Course outline

Course Outline

Module 1: Planning a BI Solution

This modules discusses how to plan the components of a BI solution.

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

After completing this module, students will be able to:

  • Describe elements of a BI Solution.
  • Describe considerations for a BI project.
  • Describe how Microsoft products can be used to implement a BI solution.

Module 2: Planning a BI Infrastructure

This modules explains how toplan an appropriate BI infrastructure for a given set of BI services.

  • Planning a Data Warehouse Infrastructure
  • Planning an ETL Infrastructure
  • Planning Analysis Services Infrastructure
  • Planning Reporting Services Infrastructure

After completing this module, students will be able to:

  • Plan a data warehouse infrastructure
  • Plan an ETL infrastructure
  • Plan Analysis Services infrastructure
  • Plan Reporting Services infrastructure

Module 3: Designing a Data Warehouse

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

  • Designing a Logical Schema
  • Designing a Physical Schema

After completing this module, students will be able to:

  • Select a data modeling approach.
  • Design a physical data warehouse schema

Module 4: Designing an ETL Solution

This module explains how to design an ETL solution for a data warehouse.

  • Planning for Data Extraction
  • Planning for Data Transformation
  • Planning for Data Loading
  • Planning for SSIS Package Deployment

After completing this module, students will be able to:

  • Plan data extraction in an ETL solution.
  • Plan data transformation in an ETL solution.
  • Plan data loading in an ETL solution.
  • Plan SSIS package deployment

Module 5: Designing Analytical Data Models

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

  • Options for Analytical Models
  • Data Model Design Considerations

After completing this module, students will be able to:

  • Describe options for analytical models.
  • Describe considerations for cube design.

Module 6: Planning a BI Delivery Solution

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

  • Considerations for BI Delivery
  • Choosing a Delivery Approach

After completing this module, students will be able to:

  • Describe considerations for planning a BI delivery solution.
  • Choose an appropriate technique for a given scenario.

Module 7: Designing a Reporting Services Solution

This module explains how to design a Reporting Services solution.

  • Designing Reports
  • Considerations for Report Execution
  • Planning a Reporting Solution

After completing this module, students will be able to:

  • Plan a reporting solution.
  • Describe considerations for report data.
  • Describe considerations for report execution.

Module 8: Designing an Excel-Based Reporting Solution

This module explains how to design a reporting solution that uses Excel.

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

After completing this module, students will be able to:

  • Use Excel to analyze data.
  • Use PowerPivot to analyze data.
  • Use Power View to analyze data.

Module 9: Planning a SharePoint Server BI Solution

This module explains how to design a SharePoint BI solution.

  • 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

After completing this module, students will be able to:

  • Describe key considerations for using SharePoint for BI
  • Describe key considerations for security when using SharePoint for BI
  • Plan the deployment and configuration of Reporting Services in SharePoint Integration Mode
  • Plan the deployment and configuration of PowerPivot
  • Plan PerformancePoint Services in a SharePoint site

Module 10: Monitoring and Optimizing a BI Solution

This module explains how to monitor and optimize a BI solution.

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

After completing this module, students will be able to:

  • Plan BI monitoring.
  • Plan data warehouse monitoring and optimization.
  • Plan Analysis Services monitoring and optimization.
  • Plan Reporting Services monitoring and optimization

Module 11: Planning BI Operations

This module explains how to plan management and maintenance operations for a BI solution.

  • Overview of BI Operations
  • Automating ETL Tasks
  • Post ETL Tasks
  • Planning a Backup Strategy for a BI Solution

After completing this module, students will be able to:

  • Plan BI operations.
  • Plan ETL operations.
  • Plan post-ETL tasks.
  • Plan backup for a BI solution.

Follow on
There are no follow-ons for this course.

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