20467: Designing Self-Service Business Intelligence and Big Data Solutions

Length: 5 days | Audience: IT Professionals | Level: 200

This five-day instructor-led course teaches students how to implement self-service Business Intelligence (BI) and Big Data analysis solutions using the Microsoft data platform. The course discusses the rationale for self-service BI, and describes how to use Microsoft SQL Server Reporting Services, Microsoft Excel, Microsoft SharePoint Server, and Microsoft Office 365 Power BI to create self-service data models and reports.

The course then goes on to describe how to use Windows Azure HDInsight to perform Big Data analysis. The curriculum includes content focused on Microsoft SQL Server 2014 and on earlier releases of SQL.

Module 1: Introduction to Self-Service Business Intelligence

This module introduces self-service BI.

Lessons  

  • Extending Enterprise BI
  • Microsoft Self-Service BI and Big Data Technologies

Lab : Exploring an Enterprise BI Solution  

  • Viewing Reports
  • Analyzing Data in a Data Model
  •  Analyzing Data from Multiple Sources

Module 2: Self-Service Reporting

This module describes how to use Report Builder as a tool for self-service Microsoft SQL Server Reporting Services report authoring.

Lessons  

  • Introduction to Self-Service Reporting
  • Shared Data Sources and Datasets
  • Report Parts

Lab : Implementing Self-Service Reporting  

  • Using Report Builder
  • Simplifying Data Access for Business Users
  • Using Report Parts

Module 3: Self-Service Data Modeling with PowerPivot

This module describes how to use PowerPivot in Microsoft Excel to create self-service data models for analysis.

Lessons  

  • Creating Data Models in Excel with PowerPivot
  • Using DAX in a PowerPivot Data Model

Lab : Self-Service Data Modeling with PowerPivot  

  • Creating a Data Model with PowerPivot
  • Enhancing a Data Model
  •  Extending a Data Model

Module 4: Importing Data with Power Query

This lesson describes how to use Power Query in Microsoft Excel to find and import data.

Lessons  

  • Introduction to Power Query
  • Using Power Query to Import Data

Lab : Using Power Query  

  • Importing data with Power Query
  •  Merging Queries
  • Adding a Query to a Data Model

Module 5: Visualizing Data with Power View in Microsoft Excel

This module describes how to use Power View in Microsoft Excel to create interactive data visualizations.

Lessons  

  • Introduction to Power View
  • Creating Dynamic Data Visualizations

Lab : Visualizing Data with Power View  

  • Using Power View

Module 6: Visualizing Geographic Data with Power Map

This module describes how to use Power Map in Microsoft Excel to create geographic data visualizations.

Lessons  

  • Introduction to Power Map
  • Using Power Map

Lab : Visualizing Geographic Data with Power Map  

  • Creating a Power Map Tour
  • Visualizing Data Over Time

Module 7: Collaborative BI with Microsoft SharePoint Server

This module describes how to use Microsoft SharePoint Server in an enterprise environment to enable users to share PowerPivot workbooks and Power View reports.

Lessons  

  • Sharing PowerPivot Workbooks
  • Managing PowerPivot Services in SharePoint Server
  • Using Power View in SharePoint Server

Lab : Using SharePoint Server for BI Collaboration  

  • Sharing a PowerPivot Workbook
  • Managing PowerPivot Data Refresh
  • Using Power View in SharePoint Server

Module 8: The Windows Azure Marketplace Data Market

This module describes how to find and use datasets in the Windows Azure Marketplace.

Lessons  

  • Introduction to the Windows Azure Marketplace
  • Using Windows Azure Marketplace Data in Microsoft Excel

Lab : Using the Windows Azure Marketplace  

  • Finding Data in the Windows Azure Marketplace
  •  Using Windows Azure Marketplace Data in Excel

Module 9: Cloud Collaboration with Power BI for Microsoft Office 365

This module introduces Power BI for Microsoft Office 365, and describes how to use it for cloud-based, collaborative self-service BI.

Lessons  

  • Introduction to Power BI
  • Natural Language Queries with Q&A
  • Sharing Queries
  • The Data Management Gateway

Lab : Using Power BI  

  • Provisioning Power BI
  • Viewing Reports and Querying Data in Power BI
  • Sharing Queries
  • Cloud-Enabling a Data Source

Module 10: Introduction to Big Data and Windows Azure HDInsight

This module introduces Big Data concepts and describes the key features of Windows Azure HDInsight.

Lessons  

  • Introduction to Big Data
  • Windows Azure HDInsight

Lab : Using Windows Azure HDInsight  

  • Provisioning a Windows Azure HDInsight Cluster
  • Processing Data with HDInsight
  • Analyzing Big Data in Microsoft Excel

Module 11: Processing Big Data with Pig and Hive

This module introduces Pig and Hive, and describes how you can use them to process Big Data in Windows Azure HDInsight.

Lessons  

  • Processing Big Data with Pig
  • Processing Big Data with Hive

Lab : Processing Big Data with Pig and Hive  

  • Processing Big Data with Pig
  • Processing Big Data with Hive

Module 12: Implementing Big Data Processing Solutions with Windows Azure HDInsight

This module introduces key Windows Azure HDInsight technologies that enable you to design and implement automated, repeatable Big Data processing solutions that support self-service BI.

Lessons  

  • Automating Big Data Processing Tasks
  • Integrating Windows Azure HDInsight with Enterprise Data

Lab : Creating a Big Data Solution  

  • Using HCatalog to Abstract Storage Locations
  • Using Oozie to Coordinate a Workflow
  • Using Sqoop to Export Data

This course requires that you meet the following prerequisites:

  • Knowledge of data warehousing and data modeling principles.
  • Familiarity with Microsoft Excel and Microsoft SharePoint Server 2013.