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

 

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.

Certifications

This course is part of the following Certifications:

Prerequisites

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

Duration 5 days

Price (excl. tax)
  • Germany: 2,590.- €
  • SA Voucher: 5
    hardcoded default SA
incl. catering
Catering includes:

  • Coffee, Tea, Juice, Water, Soft drinks
  • Pastry and Sweets
  • Fresh fruits
  • Lunch in a nearby restaurant

* Catering information only valid for courses delivered by Fast Lane.


Digital courseware

Courseware language: English

 
Click on town name to book Schedule
This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
This is a FLEX course, which is delivered both virtually and in the classroom.
Germany

Currently no local training dates available.  For enquiries please write to info@flane.de.

FLEX Training

Please see below our alternative, English language, FLEX course options.

04/11/2019 - 08/11/2019 FLEX training This is an English language FLEX course.
Time zone: Europe/London
20/01/2020 - 24/01/2020 FLEX training This is an English language FLEX course.
Time zone: Europe/London
23/03/2020 - 27/03/2020 FLEX training This is an English language FLEX course.
Time zone: Europe/London
01/06/2020 - 05/06/2020 FLEX training This is an English language FLEX course.
Time zone: Europe/London

Fast Lane Flex™ Classroom If you can't find a suitable date, don't forget to check our world-wide FLEX™ training schedule.

Europe
Italy
02/12/2019 - 06/12/2019 Rome
United Kingdom
04/11/2019 - 08/11/2019 FLEX training This is an English language FLEX course.
Time zone: Europe/London
20/01/2020 - 24/01/2020 FLEX training This is an English language FLEX course.
Time zone: Europe/London
23/03/2020 - 27/03/2020 FLEX training This is an English language FLEX course.
Time zone: Europe/London
01/06/2020 - 05/06/2020 FLEX training This is an English language FLEX course.
Time zone: Europe/London
Latin America
Argentina
04/11/2019 - 08/11/2019 Online Training Time zone: America/Buenos_Aires Course language: Spanish
Brazil
04/11/2019 - 08/11/2019 Online Training Time zone: America/Sao_Paulo Course language: Portuguese
Costa Rica
04/11/2019 - 08/11/2019 Online Training Time zone: America/Costa_Rica Course language: Spanish
Mexico
04/11/2019 - 08/11/2019 Online Training Time zone: America/Mexico_City Course language: Spanish
Middle East
Qatar
08/03/2020 - 12/03/2020 Doha Course language: English
13/09/2020 - 17/09/2020 Doha Course language: English
United Arab Emirates
13/10/2019 - 17/10/2019 Dubai Course language: English This course is being delivered by iTLS.
08/03/2020 - 12/03/2020 Dubai Course language: English This course is being delivered by iTLS.
07/06/2020 - 11/06/2020 Dubai Course language: English This course is being delivered by iTLS.
13/09/2020 - 17/09/2020 Dubai Course language: English This course is being delivered by iTLS.
06/12/2020 - 10/12/2020 Dubai Course language: English This course is being delivered by iTLS.
Africa
Egypt
13/10/2019 - 17/10/2019 Cairo Course language: English
23/02/2020 - 27/02/2020 Cairo Course language: English
17/05/2020 - 21/05/2020 Cairo Course language: English
13/09/2020 - 17/09/2020 Cairo Course language: English
22/11/2020 - 26/11/2020 Cairo Course language: English
 

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