Implementing Data Models and Reports with Microsoft SQL Server 2012

Transcription

1 Course 10778A: Implementing Data Models and Reports with Microsoft SQL Server 2012 Course Det ails Co urse Outline M o d ule 1: Intr o d uctio n to Business Intellig ence and Data 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. Introduction to Business Intelligence The Microsoft Business Intelligence Platform Lab : Rep o r ting and Analyzing Data Exploring a Reporting Services Repot Exploring a PowerPivot Workbook Exploring a Power View Report 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 lementing Rep o r ts with SQL Ser ver Rep o r ting 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. Introduction to Reporting Services Creating a Report with Report Designer Grouping and Aggregating Data in a Report Showing Data Graphically 20466D Implementing Data Models and Reports with Microsoft SQL Server 2014 Module 1: Introduction to Business Intelligence and Data Modeling Elements of an Enterprise BI Solution The Microsoft Enterprise BI Platform Planning an Enterprise BI Project Lab: Exploring a BI Solution Module 2: Crea ng Mul dimensional Databases Introduction to Multidimensional Analysis Creating Data Sources and Data Source Views Creating a Cube Overview of Cube Security Lab: Creating a Multidimensional Database Module 3: Working with Cubes and Dimensions Configuring Dimensions Defining Attribute Hierarchies Sorting and Grouping Attributes Lab: Defining Dimensions Module 4: Working with Measures and Measure Groups Working with Measures Working with Measure Groups Lab: Configuring Measures and Measure Groups

2 Filtering Reports by Using Parameters Publishing and Viewing a Report Lab : Cr eating a Rep o r t with 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 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 ting Self Ser vice Rep o r ting This module describes Microsoft SQL Server Reporting Services features that you can use to enable self-service reporting. Introduction to Self Service Reporting Shared Data Sources and Datasets Report Parts Lab : Imp lementing Self Ser vice Rep o r ting Using Report Builder Simplifying Data Access for Business Users Using Report Parts Module 5: Introduction to MDX MDX Fundamentals Adding Calculations to a Cube Using MDX to Query a Cube Lab: Using MDX Module 6: Enhancing a Cube Working with Key Performance Indicators Working with Actions Working with Perspectives Working with Translations Lab: Customizing a Cube Module 7: Implementing an Analysis Services Tabular Data Model 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 8: Introduction to DAX DAX Fundamentals Enhancing a Tabular Data Model with DAX Lab: Using DAX to Enhance a Tabular Data Model Implementing Data Models and Reports with Microsoft SQL Server xv Support self-service reporting with Report Builder. Create shared data sources and datasets for self-service reporting scenarios.

3 Use report parts as reusable report elements. M o d ule 4: M anag ing Rep o rt Executio n and Deliver y This module describes how to apply security settings and configure reports for delivery. Managing Report Security Managing Report Execution Module 9: Implementing Reports with SQL Server Repor ng Services 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 Subscriptions and Data Alert Troubleshooting Reporting Services Lab : Co nfi g ur ing Rep o r t Executio n and Deliver y Configuring Report Execution Implementing a Standard Subscription Implementing a Data-Driven Subscription Module 10: Enhancing Reports with SQL Server Repor ng Services Showing Data Graphically Filtering Reports by Using Parameters Lab: Enhancing a Report 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: Creating M ultid imensio nal Datab 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. Introduction to Multidimensional Analysis Creating Data Sources and Data Source Views Creating a Cube Overview of Cube Security Lab : Cr eating a M ultid imensio nal Datab ase Module 11: Managing Report Execu on and Delivery Managing Report Security Managing Report Execution Subscriptions and Data Alerts Troubleshooting Reporting Services Lab: Configuring Report Execution and Delivery Module 12: Delivering BI with SharePoint PerformancePoint Services 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 Creating a Data Source Creating and Modifying a Data Source View

4 Creating and Modifying a Cube Describe the considerations for a multidimensional database. Create data sources and data source views. Create a cube. Implement security in a multidimensional database. Module 13: Performing Predic ve Analysis with Data Mining 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 M o d ule 6: Wo r king with 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. 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 Configure dimensions. Define attribute hierarchies. Sort and group attributes. M o d ule 7: Wo r king with 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. 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

5 Defining Dimension Usage and Relationships Configuring Measure Group Storage Describe measures. Describe measure groups. M o d ule 8: Intr o d uctio n to 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. 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 Describe MDX. Add calculations to a cube. Describe how to use MDX in client applications. M o d ule 9: Custo mizing Cub e Functio nality 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. Working with Key Performance Indicators Working with Actions Working with Perspectives Working with Translations Lab : Custo mizing a Cub e Implementing an Action

6 Implementing a Perspective Implementing a Translation Describe Key Performance Indicators. Implement Actions. Explain Perspectives. Describe Translations. M o d ule 10: Imp lementing a Tab ular Data M o d el with M icr o so ft 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. 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 werpivo t fo 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 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: Intr o d uctio n to 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. DAX Fundamentals Using DAX to Create Calculated Column and Measures in a Tabular Data Model

7 Lab : Cr eating Calculated Co lumns and M easur es b y Using DAX Creating Calculated Columns Creating Measures Using Time Intelligence Creating a Dynamic Measure Describe the fundamentals of DAX. Use DAX to create calculated columns and measures. M o d ule 12: Imp lementing an Analysis Ser vices Tab ular Data 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. Introduction to Analysis Services Tabular Data Model Projects Developing an Analysis Services Tabular Data Model in SQL Server Data Tools Lab : Wo r king with an Analysis Ser vices Tab ular Data 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 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: Creating Data Visualizatio ns with 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. Introduction to Power View Visualizing Data with Power View Lab : Cr eating Data Visualizatio ns with 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 Describe the Power View and its place in the BI ecosystem. Create data visualizations by using Power View. M o d ule 14: Per fo r ming Pr ed ictive Analysis with Data 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. Overview of Data Mining Creating a Data Mining Solution Validating a Data Mining Solution Consuming a Data Mining Solution Lab : Using Data M ining to Sup p o r t a M ar keting 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 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.