Specialist Series: Self-Service Business Intelligence (SQL Server 2014)

loading..

loading..
or GET IT WITH SATVs

This two-day training course teaches students how to implement self-service Business Intelligence (BI) using the Microsoft Data Platform. The course describes how to use Microsoft SQL Server Reporting Services, Microsoft Excel, and SharePoint to create self-service data models, reports, data visualisations and maps.

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

After completing this module, students will be able to:

  • Support self-service reporting with Report Builder.
  • Create shared data sources and datasets for self-service reporting scenarios.
  • Use report parts as reusable report elements.

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

After completing this module, students will be able to:

  • Use PowerPivot to create tabular data models in Excel.
  • Enhance data models with custom DAX expressions.

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

After completing this module, students will be able to:

  • Enable Power Query and use it to search for data online.
  • Use Power Query to import data from multiple data sources into an Excel data model.

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

Lessons

  • Introduction to Power View
  • Creating Dynamic Data Visualisations

Lab : Visualising Data with Power View

  • Using Power View

After completing this module, students will be able to:

  • Describe the features of Power View.
  • Use Power View to create interactive data visualisations in Excel.

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

Lessons

  • Introduction to Power Map
  • Using Power Map

Lab : Visualising Geographic Data with Power Map

  • Creating a Power Map Tour
  • Visualising Data Over Time

After completing this module, students will be able to:

  • Describe the features and usage scenarios of Power Map.
  • Use Power Map to create visualisations of geographic data.

The primary audience for this Microsoft training course is database and business intelligence (BI) professionals who are familiar with data warehouses and enterprise BI solutions built with SQL Server technologies. Experienced data analysts who want to learn how to use Microsoft technologies for self-service analysis and reporting will also benefit from attending this course.
Before attending this course, students must have:
  • Familiarity with Microsoft Excel and Microsoft SharePoint Server 2013
After completing this course, students will be able to:
  • Use SQL Server Reporting Services to implement a self-service reporting solution.
  • Use PowerPivot in Microsoft Excel to create analytical data models.
  • Use Power Query in Microsoft Excel to import data into a data model.
  • Use Power View in Microsoft Excel to create interactive data visualisations.
  • Use Power Map in Microsoft Excel to create geographic data visualisations.
  • Use Microsoft SharePoint Server to implement collaborative self-service BI solutions
  • Find and use public data in the Windows Azure Marketplace

Register

In Class

    Show all

    In Class

      Show all

      In Class

        Show all

        In Class

          Show all

          OnlineLive

            Show all

            Connected Classroom

              Show all

              Not currently scheduled

              Fast track the availability of this course.
              Add to watch list or call 1300 794 006.

              Need your team upskilled?
              Request a Quote
              blah is false
              top