10988-03 Managing SQL Business Intelligence Operations

Code: 10988-03
Course duration: 3 days
Price:

10988-03  Managing SQL Business Intelligence Operations 

Course Description 

About this course 

This three-day instructor-led course is aimed at database professionals who manage Business Intelligence (BI) operations. This course looks at various options that provide the ability of business users to analyze data and share their findings, starting with managed BI data sources and expanding to personal and external/public data sources. 

Who Should Attend 

The primary audience for this course are business intelligence professionals. The secondary audiences for this course are technically proficient business users with some basic knowledge of data warehouse schema topology (including star and snowflake schemas) as well as some exposure to basic programming constructs (such as looping and branching). An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable. Familiarity with SharePoint Server and Microsoft Office applications – particularly Excel 

After completing this course, students will be able to: 

  • Describe key features of a self-service BI solution 
  • Describe the key capabilities of SQL Server BI in a SharePoint environment 
  • Describe common Analysis Services operational tasks 
  • Describe PowerPivot for SharePoint server 
  • Describe Power Query 
  • Describe Windows Azure HDInsight 

Module 1: Introduction to Microsoft SQL Server BI Solution 

This module introduces key features of a self-service BI solution. 

Lessons 

  • Overview of self-service BI 
  • Considerations of self-service BI 
  • Microsoft tools for self-service BI 

Lab : Exploring an enterprise BI solution 

Module 2: SQL Server BI Features with Microsoft SharePoint 

This module describes the key capabilities of SQL Server BI in a SharePoint environment. 

Lessons 

  • Capabilities of Power BI with SharePoint 
  • SharePoint with analysis services 
  • SharePoint with reporting services 
  • Deploying SQL server BI in a SharePoint environment 

Lab : Design a SQL Server BI infrastructure 

Module 3: Operating Analysis Services 

This module describes common analysis services operational tasks. 

Lessons 

  • Configuring an analysis services server 
  • Tuning an analysis services server 
  • Analysis services security 
  • Analysis services high availability and disaster recovery 

Lab : Configuring analysis services 

Module 4: Supporting Analysis Services 

This module introduces PowerPivot for SharePoint server. 

Lessons 

  • Testing analysis services cubes 
  • Tuning analysis services 
  • Maintaining analysis services 

Lab : Supporting Analysis Services 

Module 5: Operate and Support Reporting services 

This module introduces users to Power Query. They will use this more in subsequent modules. 

Lessons 

  • Installing a native mode report server 
  • Installing reporting services with SharePoint 
  • Reporting services with Microsoft Azure virtual machines 
  • Reporting services errors 

Lab : Installing reporting services 

Module 6: Share PowerPivot Workbooks in SharePoint Server 

This module introduces PowerPivot for SharePoint. 

Lessons 

  • PowerPivot for SharePoint 
  • Install and configure PowerPivot for SharePoint 

Lab : Install PowerPivot for SharePoint 

Module 7: Operate and Support Power BI 

This module introduces Windows Azure HDInsight. 

Lessons 

  • Power BI desktop 
  • PowerBI.Com 
  • Mobile Power BI 

Lab : Using Power BI 

Prerequisites 

This course requires that you meet the following prerequisites: 

  • Some basic knowledge of data warehouse schema topology (including star and snowflake schemas) 
  • Some exposure to basic programming constructs (such as looping and branching) 
  • An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable. 
  • Familiarity with SharePoint Server and Microsoft Office applications – particularly Excel. 

 

Guaranteed to Run

2020-11-26 09:00 to 2020-11-27 17:00
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2020-11-25 09:00 to 2020-11-27 17:00
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2020-11-19 09:00 to 2020-11-20 17:00
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2020-11-19 09:00 to 2020-11-20 17:00
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2020-11-16 09:00 to 2020-11-20 17:00
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2020-11-16 09:00 to 2020-11-20 17:00
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2020-11-13
09:00 to 17:00
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2020-11-12 09:00 to 2020-11-13 17:00
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2020-11-06
09:00 to 17:00
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2020-11-06
09:00 to 17:00
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2020-11-02 09:00 to 2020-11-06 17:00
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2020-11-02 09:00 to 2020-11-06 17:00
Attend Online
2020-10-29 09:00 to 2020-10-30 17:00
Attend Online
2020-10-26 09:00 to 2020-10-30 17:00
Attend Online

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