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Designing Business Intelligence Solutions with Microsoft SQL Server 2014 (20467)

Course Description Schedule Course Outline

Who should attend

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.


This course is part of the following Certifications:


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.

Course Objectives

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.

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.

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.

Course Content

  • Module 1: Introduction to Self-Service Business Intelligence
  • Module 2: Self-Service Reporting
  • Module 3: Self-Service Data Modeling with PowerPivot
  • Module 4: Importing Data with Power Query
  • Module 5: Visualizing Data with Power View in Microsoft Excel
  • Module 6: Visualizing Geographic Data with Power Map
  • Module 7: Collaborative BI with Microsoft SharePoint Server
  • Module 8: Introduction to Big Data and Microsoft Azure HDInsight
  • Module 9: Processing Big Data with Pig and Hive
  • Module 10: Implementing Big Data Processing Solutions with Microsoft Azure HDInsight
Classroom Training
Modality: C

Duration 5 days

Dates and Booking
Click on town name to book Schedule
13/01/2019 - 17/01/2019 Cairo Course language: English
14/04/2019 - 18/04/2019 Cairo Course language: English
07/07/2019 - 11/07/2019 Cairo Course language: English
13/10/2019 - 17/10/2019 Cairo Course language: English
Middle East
13/01/2019 - 17/01/2019 Doha Course language: English
07/07/2019 - 11/07/2019 Doha Course language: English
United Arab Emirates
13/01/2019 - 17/01/2019 Dubai Course language: English This course is being delivered by iTLS.
14/04/2019 - 18/04/2019 Dubai Course language: English This course is being delivered by iTLS.
07/07/2019 - 11/07/2019 Dubai Course language: English This course is being delivered by iTLS.
13/10/2019 - 17/10/2019 Dubai Course language: English This course is being delivered by iTLS.
26/11/2018 - 30/11/2018 Paris
12/11/2018 - 16/11/2018 Milan
25/02/2019 - 01/03/2019 Milan
27/05/2019 - 31/05/2019 Rome
09/09/2019 - 13/09/2019 Milan
02/12/2019 - 06/12/2019 Rome
Latin America
12/11/2018 - 16/11/2018 Online Training Time zone: America/Lima Course language: Spanish
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