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Designing Business Intelligence Solutions with Microsoft SQL Server 2014

Designing Business Intelligence Solutions with Microsoft SQL Server 2014


Guaranteed to Run Class - November 28, 2016
Vendor: Microsoft SQL Server 2014
Course # 20467
Course Starts On: November 28, 2016 -
Length of the Course: 5 Days
Price: $2,625 – Click Here to Pre Register

Overview

About this Course

This five-day instructor-led course teaches students how to design and implement a BI infrastructure. The course discusses design, installation, the course discusses design, installation, and maintenance of a BI platform.

This course maps to skills and knowledge measured by Microsoft Exam 70-467, and in conjunction with on-the-job experience, can help prepare you for the exam.

 Audience Profile

This course is intended for BI professionals such as BI Architects or database professionals who need to design BI solutions. BI Architects are responsible for the overall design of the BI infrastructure, including how it relates to other data systems in use. In addition, their responsibilities include Online Analytical Processing (OLAP) cube design and integration with Microsoft SharePoint or line-of-business applications. Finally, they may apply those skills in a Windows Azure SQL Server database environment.

 At Course Completion

After completing this course, students will be able to:

  • Plan the components of a BI solution.
  • Plan a BI infrastructure.
  • Design a data warehouse.
  • Design an ETL solution.
  • Plan analytical data models.
  • Plan a BI delivery solution.
  • Design a Reporting Services solution.
  • Design an Excel reporting solution.
  • Plan a SharePoint Server BI solution.
  • Monitor and optimize a BI solution.
  • Plan for BI operations.

 

Product Description

Module 1: Planning a BI Solution

This module discusses how to plan the components of a BI solution.

Lessons

  • Elements of a BI Solution
  • Planning a BI Project
  • The Microsoft BI Platform

Lab: Planning a BI Solution

  • Exercise 1: Scoping a BI Solution.
  • Exercise 2: Reviewing a Suggested Solution

After completing this module, students will be able to:

  • Describe elements of a BI Solution.
  • Describe considerations for a BI project.
  • Describe how Microsoft products can be used to implement a BI solution.

Module 2: Planning a BI Infrastructure

This module explains how to plan an appropriate BI infrastructure for a given set of BI services.

Lessons

  • Planning a Data Warehouse Infrastructure
  • Planning an ETL Infrastructure
  • Planning Analysis Services Infrastructure
  • Planning Reporting Services Infrastructure

Lab: Planning a BI Infrastructure

  • Exercise 1: Determining Required Servers
  • Exercise 2: Determining Data Warehouse Server Hardware Requirements
  • Exercise 3: Reviewing a Suggested Solution

After completing this module, students will be able to:

  • Plan a data warehouse infrastructure
  • Plan an ETL infrastructure
  • Plan Analysis Services infrastructure
  • Plan Reporting Services infrastructure

Module 3: Designing a Data Warehouse

This module explains how to design a data warehouse for a given set of user requirements.

Lessons

  • Designing a Logical Schema
  • Designing a Physical Schema

Lab: Designing a Data Warehouse Logical Schema

  • Exercise 1: Identifying Required Dimensions
  • Exercise 2: Identifying Measures and Hierarchies
  • Exercise 3: Designing a Data Warehouse Schema
  • Exercise 4: Reviewing a Suggested Solution

Lab: Designing a Data Warehouse Physical Schema

  • Exercise 1: Planning Database Storage
  • Exercise 2: Designing Partitioning
  • Exercise 3: Designing Indexes
  • Exercise 4: Reviewing a Suggested Solution

After completing this module, students will be able to:

  • Select a data modeling approach.
  • Design a physical data warehouse schema

 Module 4: Designing an ETL Solution

This module explains how to design an ETL solution for a data warehouse.

Lessons

  • Planning for Data Extraction
  • Planning for Data Transformation
  • Planning for Data Loading
  • Planning for SSIS Package Deployment

Lab: Designing an ETL Solution

  • Exercise 1: Reviewing Data Sources
  • Exercise 2: Creating Source-to-Target Maps
  • Exercise 3: Planning ETL Processes
  • Exercise 4: Reviewing a Suggested Solution

After completing this module, students will be able to:

  • Plan data extraction in an ETL solution.
  • Plan data transformation in an ETL solution.
  • Plan data loading in an ETL solution.
  • Plan SSIS package deployment

 Module 5: Designing Analytical Data Models

This module explains how to design analytical data models for specific BI scenarios.

Lessons

  • Options for Analytical Models
  • Data Model Design Considerations

Lab: Comparing Analytical Data Models

  • Exercise 1: Creating a Multidimensional Model
  • Exercise 2: Creating a Tabular Model

Lab: Designing Data Models

  • Exercise 1: Designing Dimension Attributes
  • Exercise 2: Designing Data Model Aggregations and Storage
  • Exercise 3: Reviewing a Suggested Solution

After completing this module, students will be able to:

  • Describe options for analytical models.
  • Describe considerations for cube design.

Module 6: Planning a BI Delivery Solution

This module explains how to choose an appropriate delivery solution for a given scenario.

Lessons

  • Considerations for BI Delivery
  • Choosing a Delivery Approach

Lab: Planning a BI Delivery Solution

  • Exercise 1: Assessing Reporting Requirements

After completing this module, students will be able to:

  • Describe considerations for planning a BI delivery solution.
  • Choose an appropriate technique for a given scenario.

 Module 7: Designing a Reporting Services Solution

This module explains how to design a Reporting Services solution.

 Lessons

  • Designing Reports
  • Considerations for Report Execution
  • Planning a Reporting Solution

Lab: Designing a Reporting Services Solution

  • Exercise 1: Planning a Reporting Services Solution
  • Exercise 2: Planning a Report Delivery Environment
  • Exercise 3: Configuring Report Execution

After completing this module, students will be able to:

  • Plan a reporting solution.
  • Describe considerations for report data.
  • Describe considerations for report execution.

 Module 8: Designing an Excel-Based Reporting Solution

This module explains how to design a reporting solution that uses Excel.

Lessons

  • Using Excel for Data Reporting and Analysis
  • PowerPivot in Excel
  • Power View in Excel

Lab: Designing an Excel Reporting Solution

  • Exercise 1: Planning Excel Features
  • Exercise 2: Analyzing a Cube with Excel
  • Exercise 3: Using PowerPivot
  • Exercise 4: Using Power View

After completing this module, students will be able to:

  • Use Excel to analyze data.
  • Use PowerPivot to analyze data.
  • Use Power View to analyze data.

 Module 9: Planning a SharePoint Server BI Solution

This module explains how to design a SharePoint BI solution.

Lessons

  • 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: Planning a SharePoint Server BI Solution

  • Exercise 1: Planning SharePoint Server Security
  • Exercise 2: Configuring Reporting Services in SharePoint Server
  • Exercise 3: Managing PowerPivot Data Refresh
  • Exercise 4: Reviewing PowerPivot Activity
  • Exercise 5 (Optional) Creating a PerformancePoint Dashboard

After completing this module, students will be able to:

  • Describe key considerations for using SharePoint for BI
  • Describe key considerations for security when using SharePoint for BI
  • Plan the deployment and configuration of Reporting Services in SharePoint Integration Mode
  • Plan the deployment and configuration of PowerPivot
  • Plan PerformancePoint Services in a SharePoint site

 Module 10: Monitoring and Optimizing a BI Solution

This module explains how to monitor and optimize a BI solution.

Lessons

  • Overview of BI Monitoring
  • Monitoring and Optimizing the Data Warehouse
  • Monitoring and Optimizing Analysis Services
  • Monitoring and Optimizing Reporting Services

Lab: Monitoring and Optimizing a BI Solution

  • Exercise 1: Monitoring and Optimizing a Data Warehouse
  • Exercise 2: Troubleshooting Analysis Services Queries
  • Exercise 3: Monitoring and Optimizing Reporting Services

After completing this module, students will be able to:

  • Plan BI monitoring.
  • Plan data warehouse monitoring and optimization.
  • Plan Analysis Services monitoring and optimization.
  • Plan Reporting Services monitoring and optimization

Module 11: Planning BI Operations

This module explains how to plan management and maintenance operations for a BI solution.

Lessons

  • Overview of BI Operations
  • Automating ETL Tasks
  • Post ETL Tasks
  • Planning a Backup Strategy for a BI Solution

Lab: Planning BI Operations

  • Exercise 1: Planning ETL and Processing Tasks
  • Exercise 2: Planning a Backup Strategy

After completing this module, students will be able to:

  • Plan BI operations.
  • Plan ETL operations.
  • Plan post-ETL tasks.
  • Plan backup for a BI solution.

 

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