Implementing Data Models and Reports with Microsoft SQL Server 2012

Full text

(1)

Course 10778A:

Implementing Data Models and Reports with Microsoft SQL Server 2012

Co ur se Out line

M o d ule 1: Int r o d uct io n t o Business Int ellig ence and Dat a M o d eling

This module provides an introduction to Business (BI) Intelligence. It describes common BI

scenarios, current trends in BI, and the typical roles that are involved in creating a BI solution. It also introduces the Microsoft BI platform and describes the roles Microsoft SQL Server 2012 and Microsoft SharePoint 2010 play in Microsoft BI solutions.

Lesso ns

Introduction to Business Intelligence

The Microsoft Business Intelligence Platform

Lab : Rep o r t ing and Analyzing Dat a Exploring a Reporting Services Repot Exploring a PowerPivot Workbook Exploring a Power View Report

After completing this module, students will be able to:

Describe common BI scenarios and current BI trends.

Describe the main technologies that make up the Microsoft BI platform.

M o d ule 2: Imp lement ing Rep o r t s wit h SQL Ser ver Rep o r t ing Ser vices

This module discusses the tools and techniques a professional business intelligence developer can use to create and publish reports with SQL Server Reporting Services.

Lesso ns

Introduction to Reporting Services Creating a Report with Report Designer Grouping and Aggregating Data in a Report Showing Data Graphically

Course Det ails

20466D

Implementing Data Models and Reports with Microsoft SQL Server 2014

Module 1: Introduction to Business Intelligence and Data Modeling Lesson

Elements of an Enterprise BI Solution

The Microsoft Enterprise BI Platform

Planning an Enterprise BI Project Lab: Exploring a BI Solution

Module Review and Takeaways

Module 2: Crea ng Mul dimensional Databases Lesson

Introduction to Multidimensional Analysis

Creating Data Sources and Data Source Views

Creating a Cube

Overview of Cube Security

Lab: Creating a Multidimensional Database

Module Review and Takeaways

Module 3: Working with Cubes and Dimensions Lesson

Configuring Dimensions

Defining Attribute Hierarchies

Sorting and Grouping Attributes Lab: Defining Dimensions

Module Review and Takeaways

Module 4: Working with Measures and Measure Groups Lesson

Working with Measures

Working with Measure Groups

Lab: Configuring Measures and Measure Groups

Module Review and Takeaways

(2)

Filtering Reports by Using Parameters Publishing and Viewing a Report

Lab : Cr eat ing a Rep o r t wit h Rep o r t Desig ner Creating a Report

Grouping and Aggregating Data

Lab : Enhancing and Pub lishing a Rep o r t Adding a Chart to a Report

Adding Parameters to a Report Publishing a Report

After completing this module, students will be able to:

Describe the key features of Reporting Services.

Use Report Designer to create a report.

Group and aggregate data in a report.

Use charts and other visualizations to show data graphically in a report.

Use parameters to filter data in a report.

Publish and view a report.

M o d ule 3: Sup p o r t ing Self Ser vice Rep o r t ing

This module describes Microsoft SQL Server Reporting Services features that you can use to enable self-service reporting.

Lesso ns

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

Lab : Imp lement ing Self Ser vice Rep o r t ing Using Report Builder

Simplifying Data Access for Business Users Using Report Parts

After completing this module, students will be able to:

Support self-service reporting with Report Builder.

Create shared data sources and datasets for self-service reporting scenarios.

Module 5: Introduction to MDX Lesson

MDX Fundamentals

Adding Calculations to a Cube

Using MDX to Query a Cube Lab: Using MDX

Module Review and Takeaways

Module 6: Enhancing a Cube Lesson

Working with Key Performance Indicators

Working with Actions

Working with Perspectives

Working with Translations Lab: Customizing a Cube

Module Review and Takeaways

Module 7: Implementing an Analysis Services Tabular Data Model Lesson

Introduction to Analysis Services Tabular Data Models

Creating a Tabular Data Model

Using an Analysis Services Tabular Data Model in the Enterprise Lab: Implementing an Analysis Services Tabular Data Model

Module Review and Takeaways

Module 8: Introduction to DAX Lesson

DAX Fundamentals

Enhancing a Tabular Data Model with DAX Lab: Using DAX to Enhance a Tabular Data Model

Module Review and Takeaways

Implementing Data Models and Reports with Microsoft SQL Server xv

(3)

Use report parts as reusable report elements.

M o d ule 4: M anag ing Rep o r t Execut io n and Deliver y

This module describes how to apply security settings and configure reports for delivery.

Lesso ns

Managing Report Security Managing Report Execution Subscriptions and Data Alert

Troubleshooting Reporting Services

Lab : Co nfi g ur ing Rep o r t Execut io n and Deliver y Configuring Report Execution

Implementing a Standard Subscription Implementing a Data-Driven Subscription

After completing this module, students will be able to:

Configure security settings for a report server.

Configure report execution settings to optimize performance.

Use subscriptions and alerts to automate report and data delivery.

Troubleshoot reporting issues.

M o d ule 5: Cr eat ing M ult id imensio nal Dat ab ases

The fundamental purpose of using SQL Server Analysis Services online analytical processing (OLAP) solutions is to build cubes that you can use to perform complex queries and return the results in a reasonable time. This module provides an introduction to multidimensional databases and

introduces the core components of an OLAP cube.

Lesso ns

Introduction to Multidimensional Analysis Creating Data Sources and Data Source Views Creating a Cube

Overview of Cube Security

Lab : Cr eat ing a M ult id imensio nal Dat ab ase Creating a Data Source

Creating and Modifying a Data Source View

Module 9: Implementing Reports with SQL Server Repor ng Services Lesson

Introduction to Reporting Services

Creating a Report with Report Designer

Grouping and Aggregating Data in a Report

Publishing and Viewing a Report Lab: Creating a Report with Report Designer

Module Review and Takeaways

Module 10: Enhancing Reports with SQL Server Repor ng Services Lesson

Showing Data Graphically

Filtering Reports by Using Parameters Lab: Enhancing a Report

Module Review and Takeaways

Module 11: Managing Report Execu on and Delivery Lesson

Managing Report Security

Managing Report Execution

Subscriptions and Data Alerts

Troubleshooting Reporting Services Lab: Configuring Report Execution and Delivery

Module Review and Takeaways

Module 12: Delivering BI with SharePoint PerformancePoint Services Lesson

Introduction to SharePoint Server as a BI Platform

Introduction to PerformancePoint Services

PerformancePoint Data Sources and Time Intelligence

Reports, Scorecards, and Dashboards

Lab: Implementing a SharePoint Server BI Solution

Module Review and Takeaways

(4)

Creating and Modifying a Cube

After completing this module, students will be able to:

Describe the considerations for a multidimensional database.

Create data sources and data source views.

Create a cube.

Implement security in a multidimensional database.

M o d ule 6: Wo r king wit h Dimensio ns

In SQL Server Analysis Services, dimensions are a fundamental component of cubes. This module provides an insight into the creation and configuration of dimensions and dimension hierarchies.

Lesso ns

Configuring Dimensions Defining Attribute Hierarchies Sorting and Grouping Attributes

Lab : Defi ning Dimensio ns Configuring Dimensions

Defining Relationships and Hierarchies Sorting and Grouping Dimensions Attributes

After completing this module, students will be able to:

Configure dimensions.

Define attribute hierarchies.

Sort and group attributes.

M o d ule 7: Wo r king wit h M easur es and M easur e Gr o up s

A measure represents a column that contains quantifiable data, usually numeric, that you can aggregate. This module describes measures and measure groups. The module also explains how you can use measures to define fact tables and associate dimensions.

Lesso ns

Working with Measures Working with Measure Groups

Lab : Co nfi g ur ing M easur es and M easur e Gr o up s Configuring Measures

Module 13: Performing Predic ve Analysis with Data Mining Lesson

Overview of Data Mining

Creating a Data Mining Solution

Validating a Data Mining Model

Consuming Data Mining Data

Lab: Using Data Mining to Support a Marketing Campaign

(5)

Defining Dimension Usage and Relationships Configuring Measure Group Storage

After completing this module, students will be able to:

Describe measures.

Describe measure groups.

M o d ule 8: Int r o d uct io n t o M DX

Multidimensional Expressions (MDX) is the query language that you use to work with and retrieve multidimensional data in SQL Server Analysis Services. This module describes the fundamentals of MDX. It also explains how to build calculations, such as calculated members and named sets.

Lesso ns

MDX Fundamentals

Adding Calculations to a Cube Using MDX to Query a Cube

Lab : Using M DX

Querying a Cube by Using MDX Creating a Calculated Member

After completing this module, students will be able to:

Describe MDX.

Add calculations to a cube.

Describe how to use MDX in client applications.

M o d ule 9: Cust o mizing Cub e Funct io nalit y

In this module, you will learn how to customize cube functionality by using several technologies available to you in SQL Server Analysis Services. These technology customizations include: Key Performance Indicators, Actions, Perspectives, and Translations.

Lesso ns

Working with Key Performance Indicators Working with Actions

Working with Perspectives Working with Translations

Lab : Cust o mizing a Cub e Implementing an Action

(6)

Implementing a Perspective Implementing a Translation

After completing this module, students will be able to:

Describe Key Performance Indicators.

Implement Actions.

Explain Perspectives.

Describe Translations.

M o d ule 10: Im p lement ing a Tab ular Dat a M o d el wit h M icr o so f t Po wer Pivo t

This module introduces tabular data models, explains how to install and use the PowerPivot for Excel add-in, and describes how to share a workbook to PowerPivot Gallery.

Lesso ns

Introduction to Tabular Data Models and PowerPivot Technologies Creating a Tabular Data Model by Using PowerPivot for Excel Sharing a PowerPivot Workbook and Using PowerPivot Gallery

Lab : Using Po wer Pivo t f o r Excel

Creating a Tabular Data Model by Using PowerPivot for Excel Using a Tabular Data Model in Excel

Sharing a PowerPivot Workbook to PowerPivot Gallery Using a PowerPivot Workbook as a Data Source

After completing this module, students will be able to:

Describe the key features and benefits of tabular data models and PowerPivot technologies.

Create a PowerPivot for Excel workbook.

Share a PowerPivot for Excel workbook to PowerPivot Gallery and use a PowerPivot for Excel workbook as a data source.

M o d ule 11: Int r o d uct io n t o DAX

This module covers the fundamentals of the DAX language. It also explains how you can use DAX to create calculated columns and measures, and how you can use these in your tabular data models.

Lesso ns

DAX Fundamentals

Using DAX to Create Calculated Column and Measures in a Tabular Data Model

(7)

Lab : Cr eat ing Calculat ed Co lumns and M easur es b y Using DAX Creating Calculated Columns

Creating Measures Using Time Intelligence Creating a Dynamic Measure

After completing this module, students will be able to:

Describe the fundamentals of DAX.

Use DAX to create calculated columns and measures.

M o d ule 12: Im p lement ing an Analysis Ser vices Tab ular Dat a M o d el

With SQL Server 2012, you can install Analysis Services in Tabular mode and create tabular data models that information workers can access by using tools such as Excel and Power View. This module describes Analysis Services tabular data models and explains how to develop a tabular data model by using the SQL Server Data Tools.

Lesso ns

Introduction to Analysis Services Tabular Data Model Projects

Developing an Analysis Services Tabular Data Model in SQL Server Data Tools

Lab : Wo r king wit h an Analysis Ser vices Tab ular Dat a M o d el

Creating an Analysis Data Services Tabular Data Model from a PowerPivot Workbook Implementing a Perspective

Implementing Partitions

Deploying an Analysis Services Tabular Data Model Enabling Access to a Tabular Data Model

Configuring DirectQuery Storage Model Implementing Security in a Tabular Data Model

After completing this module, students will be able to:

Describe Analysis Services tabular data model Projects.

Implement an Analysis Services tabular data model by Using SQL Server Data Tools.

M o d ule 13: Cr eat ing Dat a Visualizat io ns wit h Po wer View

SQL Server 2012 introduces Power View, a SharePoint-based data exploration tool that provides a way for information workers to interactively create data visualizations that help them to better understand the data that they are working with. This module introduces Power View and describes

(8)

how you can use it to create a range of different types of reports quickly and easily.

Lesso ns

Introduction to Power View Visualizing Data with Power View

Lab : Cr eat ing Dat a Visualizat io ns wit h Po wer View Modify the Tabular Data Model

Create a Simple Power View Report Using Interactive Visualizations Create a Scatter Chart and a Play Axis

After completing this module, students will be able to:

Describe the Power View and its place in the BI ecosystem.

Create data visualizations by using Power View.

M o d ule 14: Per f o r ming Pr ed ict ive Analysis wit h Dat a M ining

SQL Server Analysis Services includes data mining tools that you can use to identify patterns in your data, helping you to determine why particular things happen and to predict what will happen in the future. This module introduces data mining, describes how to create a data mining solution, how to validate data mining models, how to use the Data Mining Add-ins for Excel, and how to incorporate data mining results into Reporting Services reports.

Lesso ns

Overview of Data Mining

Creating a Data Mining Solution Validating a Data Mining Solution Consuming a Data Mining Solution

Lab : Using Dat a M ining t o Sup p o r t a M ar ket ing Camp aig n Using Table Analysis Tools

Creating a Data Mining Model

Using the Data Mining Add-in for Excel Validating Data Mining Models

Using a Data Mining Model in a Report

After completing this module, students will be able to:

Describe the key data mining concepts and use the Data Mining Add-ins for Excel.

(9)

Create a Data Mining solution.

Validate data mining models.

Use data mining data in a report.

Figure

Updating...

References

Updating...

Related subjects :