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Overview

About this Course

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.

Note:This course is designed for customers who are interested in learning SQL Server 2012 or SQL Server 2014. It covers the new features in SQL Server 2014, but also the important capabilities across the SQL Server data platform.

Audience Profile
The primary audience for this 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.
At Course Completion

After completing this course, students will be able to:

  • Describe key features and benefits of self-service BI.
  • 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 visualizations.
  • Use Power Map in Microsoft Excel to create geographic data visualizations.
  • Use Microsoft SharePoint Server to implement collaborative self-service BI solutions.
  • Provision and use a Windows Azure HDInsight cluster for Big Data analysis.
  • Use Pig and Hive to analyze big data in Windows Azure HDInsight.
  • Design and implement Big Data processes to support self-service BI.
  • Prerequisites

    - Work experience with Microsoft Excel and Microsoft SharePoint Server 2013

    - Students who attend this training can meet the prerequisites by attending the following courses, or obtaining equivalent knowledge and skills:

  • М20461 Querying Microsoft SQL Server
  • М20463 Implementing a Data Warehouse with Microsoft SQL Server
  • М20466 Implementing Data Models and Reports with Microsoft SQL Server
  • or (in case if you have attended Microsoft SQL Server 2008 course)

  • М10777 Implementing a Data Warehouse with Microsoft SQL Server 2012
  • М10778 Implementing Data Models and Reports with Microsoft SQL Server 2012
  • Course Details

    Coutse Outline

    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
  • Module 2: Self-Service Reporting

    TThis 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Module 8: Introduction to Big Data and Microsoft 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
  • Module 9: 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
  • Module 10: Implementing Big Data Processing Solutions with Microsoft 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
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    Length: 5 days