20467 Designing Business Intelligence Solutions with Microsoft SQL Server 2014

20467 Designing Self-Service Business Intelligence and Big Data Solutions

This course teaches students how to implement self-service Business Intelligence (BI) and Big Data analysis solutions using the Microsoft data platform.

PREREQUISITES
This course requires that you meet the following prerequisites: Knowledge of data warehousing and data modeling principles and familiarity with Microsoft Excel and Microsoft SharePoint Server 2013.
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TARGET 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.

COURSE OBJECTIVES
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.

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COURSE OUTLINE
1 - PLANNING A BI SOLUTION
Elements of a BI Solution
Planning a BI Project
The Microsoft BI Platform
Lab: Planning BI Solutions

2 - PLANNING BI INFRASTRUCTURE
Considerations of BI Infrastructure
Planning Data Warehouse Hardware
Lab: Planning BI Infrastructure

3 - DESIGNING A DATA WAREHOUSE
Data Warehouse Design Overview
Designing Dimension Tables
Design FACT tables
Lab: Designing a Data Warehouse Logical Schema

4 - DESIGNING AN ETL SOLUTION
ETL Overview
Planning for Data Extraction
Planning for Data Transformations
Planning for Data Loading
Lab: Designing an ETL Solution

5 - DESIGNING ANALYTICAL DATA MODELS
Introduction to Analytical data Models
Designing Analytical Data Models
Lab: Designing Analytical Data Model
Lab: Designing Dimensions and Hierarchies

6 - PLANNING A BI DELIVERY SOLUTION
Considerations for BI delivery
Common Reporting Scenarios
Choosing a Reporting Tool
Lab: Planning a BI Delivery Solution

7 - DESIGNING A REPORTING SERVICES SOLUTION
Planning a Reporting Solution
Designing Reports
Planning Report Consistency
Lab: Designing a Reporting Services Solution

8 - DESIGNING AN EXCEL BASED REPORTING SOLUTION
Using Excel for Data Reporting and Analysis
PowerPivot in Excel
Power View in Excel
Lab: Designing and Excel Reporting Solution

9 - PLANNING A SHAREPOINT SERVER BI SOLUTION
Introduction to SharePoint Server as a BI Platform
Planning Security for a SharePoint Server BI Solution
Planning Reporting Services Configuration
Planning PowerPivot Configuration
Planning for PerformancePoint Services
Lab: Implementing a SharePoint Server BI Solution
Lab: Implementing PerformancePoint Services

10 - MONITORING & OPTIMIZING A BI SOLUTION
Overview of BI Monitoring
Monitoring and Optimizing the Data Warehouse
Monitoring and Analyzing Analysis Services
Monitoring and Optimizing Reporting Services
Lab: Monitoring and Optimizing a BI Solution

11 - OPERATING A BI SOLUTION
Overview of BI Operations
ETL Operations
Data Warehouse Operations
Analysis Services Operations
Reporting Services Operations
Lab: Operating a BI Solution

Actual course outline may vary depending on offering center. Contact your sales representative for more information.
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RELATED
Related Certifications
Microsoft Certified Solutions Expert (MCSE): Business Intelligence
Related Exams
Designing Business Intelligence Solutions with Microsoft SQL Server 2012