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Designing Self-Service Business Intelligence and Big Data Solutions

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.

Note: 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.

Audience profile
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.

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.

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.

Course Outline:

Module 1: Planning a BI Solution
This modules 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

Module 2: Planning a BI Infrastructure
This modules 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

Module 3: Designing a Data Warehouse
This module explain 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
Lab : Designing a Data Warehouse Physical 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

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
Lab : Designing Data Models

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

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

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

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

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

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

This course provides delegates with an additional free-of-charge benefit of 30 days of access to their lab machines after the conclusion of the course, so that they can continue to engage with their study materials and environments

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Ota yhteyttä

Myyntipalvelu

Myynti

010 4321 001 Ota yhteyttä

Kesto: 5 päivää
Veroton hinta (+ alv 24 %): 2 637 €

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