Designing Self-Service Business Intelligence and Big Data Solutions (C

Acerca de este Curso

This 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.

Perfil de audiencia

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.

Al finalizar el curso

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.

Pre-requisitos

In addition to their professional experience, students who attend this training should already have the following technical knowledge:

A basic understanding of dimensional modeling (star schema) for data warehouses
Basic server hardware knowledge
The ability to create Integration Services packages that include control flows and data flows
The ability to create a basic multidimensional cube with Analysis Services
The ability to create a basic tabular model with PowerPivot and Analysis Services
The ability to create Reporting Services reports with Report Designer
The ability to implement authentication and permissions in the SQL Server database engine, Analysis Services, and Reporting Services
Familiarity with SharePoint Server and Microsoft Office applications – particularly Excel

Detalles del curso

Module 1: Introduction to Self-Service Business Intelligence

This module introduces self-service BI.

Lessons

Extending Enterprise BI
Microsoft Self-Service BI and Big Data Technologies

Lab : Exploring an Enterprise BI Solution

Viewing Reports
Analyzing Data in a Data Model
Analyzing Data from Multiple Sources

After completing this module, you will be able to:

Describe ways in which an enterprise BI solution can be extended.
Identify Microsoft technologies for self-service BI and Big Data analysis.

Module 2: Self-Service Reporting

This module describes how to use Report Builder as a tool for self-service Microsoft SQL Server Reporting Services report authoring.

Lessons

Introduction to Self-Service Reporting
Shared Data Sources and Datasets
Report Parts

Lab : Implementing Self-Service Reporting

Using Report Builder
Simplifying Data Access for Business Users
Using Report Parts

After completing this module, you will be able to:

Support self-service reporting with Report Builder.
Create shared data sources and datasets for self-service reporting scenarios.
Use report parts as reusable report elements.

Module 3: Self-Service Data Modeling with PowerPivot

This module describes how to use PowerPivot in Microsoft Excel to create self-service data models for analysis.

Lessons

Creating Data Models in Excel with PowerPivot
Using DAX in a PowerPivot Data Model

Lab : Self-Service Data Modeling with PowerPivot

Creating a Data Model with PowerPivot
Enhancing a Data Model
Extending a Data Model

After completing this module, you will be able to:

Use PowerPivot to create tabular data models in Excel.
Enhance data models with custom DAX expressions.

Module 4: Importing Data with Power Query

This lesson describes how to use Power Query in Microsoft Excel to find and import data.

Lessons

Introduction to Power Query
Using Power Query to Import Data

Lab : Using Power Query

Importing data with Power Query
Merging Queries
Adding a Query to a Data Model

After completing this module, you will be able to:

Enable Power Query and use it to search for data online
Use Power Query to import data from multiple data sources into an Excel data model

Module 5: Visualizing Data with Power View in Microsoft Excel

This module describes how to use Power View in Microsoft Excel to create interactive data visualizations.

Lessons

Introduction to Power View
Creating Dynamic Data Visualizations

Lab : Visualizing Data with Power View

Using Power View

After completing this module, you will be able to:

Describe the features of Power View
Use Power View to create interactive data visualizations in Excel

Module 6: Visualizing Geographic Data with Power Map

This module describes how to use Power Map in Microsoft Excel to create geographic data visualizations.

Lessons

Introduction to Power Map
Using Power Map

Lab : Visualizing Geographic Data with Power Map

Creating a Power Map Tour
Visualizing Data Over Time

After completing this module, you will be able to:

Describe the features and usage scenarios of Power Map
Use Power Map to create visualizations of geographic data

Module 7: Collaborative BI with Microsoft SharePoint Server

This module describes how to use Microsoft SharePoint Server in an enterprise environment to enable users to share PowerPivot workbooks and Power View reports.Lessons

Sharing PowerPivot Workbooks
Managing PowerPivot Services in SharePoint Server
Using Power View in SharePoint Server

Lab : Using SharePoint Server for BI Collaboration

Sharing a PowerPivot Workbook
Managing PowerPivot Data Refresh
Using Power View in SharePoint Server

After completing this module, you will be able to:

Share a PowerPivot workbooks in SharePoint Server
Manage PowerPivot services in SharePoint Server
Use Power View to create interactive data visualizations in SharePoint Server

Module 8: Introduction to Big Data and Microsoft Azure HDInsight

This module introduces Big Data concepts and describes the key features of Windows Azure HDInsight.

Lessons

Introduction to Big Data
Windows Azure HDInsight

Lab : Using Windows Azure HDInsight

Provisioning a Windows Azure HDInsight Cluster
Processing Data with HDInsight
Analyzing Big Data in Microsoft Excel

After completing this module, you will be able to:

Describe key features of Big Data.
Use Windows Azure HDInsight to process Map/Reduce jobs

Module 9: Processing Big Data with Pig and Hive

This module introduces Pig and Hive, and describes how you can use them to process Big Data in Windows Azure HDInsight.

Lessons

Processing Big Data with Pig
Processing Big Data with Hive

Lab : Processing Big Data with Pig and Hive

Processing Big Data with Pig
Processing Big Data with Hive

After completing this module, you will be able to:

Use Pig to process Big Data
Use Hive to process Big Data

Module 10: Implementing Big Data Processing Solutions with Microsoft Azure HDInsight

This module introduces key Windows Azure HDInsight technologies that enable you to design and implement automated, repeatable Big Data processing solutions that support self-service BI.

Lessons

Automating Big Data Processing Tasks
Integrating Windows Azure HDInsight with Enterprise Data

Lab : Creating a Big Data Solution

Using HCatalog to Abstract Storage Locations
Using Oozie to Coordinate a Workflow
Using Sqoop to Export Data

After completing this module, you will be able to:

Design and implement an automated Big Data processing solution
Integrate Windows Azure HDInsight with Self-Service BI Solutions

Module 11: Operating a BI SolutionAt the conclusion of this module you will be able to plan management and maintenance operations of a BI solution.
Lessons

Overview of BI Operations
ETL Operations
Data Warehouse Operations
Analysis Services Operations
Reporting Services Operations

Lab : Operating a BI Solution

After completing this module, you will be able to:

Describe the components to be managed in a BI Solution.
Be able to manage the components of a BI solution.