Overview
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
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.
Objective
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 a Power Query in Microsoft Excel to import data into a data model.
- Use Power View in Microsoft Excel to create interactive data visualizations.
- Use the Power Map in Microsoft Excel to create geographic data visualizations.
- Use Microsoft SharePoint Server to implement collaborative self-service BI solutions.
- Provision and use of 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.
Curriculum
Curriculum
- 20 Sections
- 48 Lessons
- 40 Hours
- Module 1: Introduction to Self-Service Business IntelligenceThis module introduces self-service BI.2
- Module 1 Lab : Exploring an Enterprise BI Solution3
- Module 2: Self-Service ReportingThis module describes how to use Report Builder as a tool for self-service Microsoft SQL Server Reporting Services report authoring.3
- Module 2 Lab : Implementing Self-Service Reporting3
- Module 3: Self-Service Data Modeling with PowerPivotThis module describes how to use PowerPivot in Microsoft Excel to create self-service data models for analysis.2
- Module 3 Lab : Self-Service Data Modeling with PowerPivot3
- Module 4: Importing Data with Power QueryThis lesson describes how to use Power Query in Microsoft Excel to find and import data.2
- Module 4 Lab : Using Power Query3
- Module 5: Visualizing Data with Power View in Microsoft ExcelThis module describes how to use Power View in Microsoft Excel to create interactive data visualizations.2
- Module 5 Lab : Visualizing Data with Power View1
- Module 6: Visualizing Geographic Data with Power MapThis module describes how to use Power Map in Microsoft Excel to create geographic data visualizations.2
- Module 6 Lab : Visualizing Geographic Data with Power Map2
- Module 7: Collaborative BI with Microsoft SharePoint ServerThis module describes how to use Microsoft SharePoint Server in an enterprise environment to enable users to share PowerPivot workbooks and Power View reports.3
- Module 7 Lab : Using SharePoint Server for BI Collaboration3
- Module 8: Introduction to Big Data and Microsoft Azure HDInsightThis module introduces Big Data concepts and describes the key features of Windows Azure HDInsight.2
- Module 8 Lab : Using Windows Azure HDInsight3
- Module 9: Processing Big Data with Pig and HiveThis module introduces Pig and Hive, and describes how you can use them to process Big Data in Windows Azure HDInsight.2
- Module 9 Lab : Processing Big Data with Pig and Hive2
- Module 10: Implementing Big Data Processing Solutions with Microsoft Azure HDInsightThis 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.2
- Module 10 Lab : Creating a Big Data Solution3
