
Overview
This Five-day instructor-led course is a complete high-level tour of the Microsoft Business Intelligence stack. It introduces students to the SQL 2012 Business Intelligence and SharePoint 2013 Business Intelligence services including PerformancePoint Service, Excel Services, Business Connectivity Services, Visio Services and the Business Intelligence Center focusing on their interdependency.
Before attending this course, students should have:
This course is intended for Project Managers, Business Intelligence Developers, SQL Server Developers and IT Professionals that will be involved with the design, development and maintenance of SharePoint 2013 Business Intelligence solutions. The course introduces each of the services and minimizes or eliminates any coding.
This module explains how the class will be structured and introduces course materials and additional administrative information. Introduction Course Materials Facilities Prerequisites What We'll Be Discussing Lab 1: Course Overview None Successfully log into their virtual machine. Have a full understanding of what the course intends to cover. In this module we will first look at the three different ways in which business intelligence can be viewed. Then, we’re going to look at the services SQL 2012 provides us and how they apply to business intelligence. We will then move to SharePoint 2013 and look at the SharePoint services to examine their relevance and how we can use them in business intelligence to surface data. In this section we will also cover the new business intelligence features available within the SharePoint 2013 release. Finally, we will take a brief look at PowerPivot, examining the new features and their significance. PowerPivot is covered in more detail in a later module. Business Intelligence in Three Ways SQL 2012 Business Intelligence SharePoint 2010 Business Intelligence PowerPivot Lab 1: The Business Intelligence Stack SQL 2012 Multidimensional Model Basics SQL 2012 Tabular Model Basics Browse the data within the cube using SQL Server Management Studio. Browse data using Visual Studio 2013. Connect to a tabular source, import tables, and explore the data. In this module we will give an overview of ETL and discuss two approaches that should be considered prior to implementation. We will also go over the SQL Server Data Tools application and explain the concept of Packages, Tasks, and Containers with further instruction on how to use these tools and others. In the following list of topics you will see two topics that are part of SQL Server Integration Services ETL although not covered in this module. They are SQL Server Integration Services Data Profiler and Data cleansing which are covered later in the course. What’s New? Overview of Extract, Transform, and Load (ETL) SSIS Tools Change Data Capture SQL Server Integration Services Scripting Variables, Parameters, and Expressions Package Deployment Lab 1: SQL Server Integration Services (SSIS) 2012 Explore the SQL Server Data Tools Explore SQL Server Management Studio and Back Up a Database Run the Import Export Wizard Create a Project for the Exercises Add Connections to the Control Flow Add Execute SQL Tasks and Connect Precedence Constraints Add Data Flow and Use the Destination Assistant Copy a Package and Reuse Project Connection Managers Data Conversion Conditional Split Multicast Aggregate Derived Column and Sort Lookup Project Deployment Successfully Navigate SQL Server Data Tools. Successfully Navigate SQL Server Management Studio. Run the Import Export Wizard. Create a Project. Add and Configure Connections to the Control Flow. Add and Configure Execute SQL Tasks. Connect and Configure Precedence Constraints. Add and Configure Data Flow Tasks. Use the Destination Assistant. Copy a Package and Reuse Project Connection Managers. Add and Configure a Data Conversion Transformation. Add and Configure a Conditional Split Transformation. Add and Configure a Multicast Transformation. Add and Configure an Aggregate Transformation. Add and Configure a Derived Column Transformation. Add and Configure a Sort Transformation. Add and Configure a Lookup Transformation. Successfully Deploy a Project. In this module we cover the basics of using multidimensional mode and the tools available. In data warehousing there are two commonly acknowledged approaches to building a decision support infrastructure, and you can implement both using the tools available in SQL Server Analysis Services 2012 multidimensional. We will go over these two approaches and we will also cover key concepts for using multidimensional mode. The Data Warehouse/Data Mart The Tools Key Concepts Data Sources Data Views Cubes Data Profiler Proactive Cache Deployment Wizards Lab 1: SQL 2012 Business Intelligence Semantic Model (Multidimensional Mode) Create a Sample or Test Database Explore the Key Objects Creating a Server-Side Time Dimension Create a Data Source and Data View Explore the Cube Partitions Aggregations Data Profiler Proactive Cache Deploy and Process Build a Cube Create a Sample or Test Database. Successfully Navigate and Use Key Objects. Create a Server Side Time Dimension. Create a Data Source. Create a Data View. Successfully Navigate a Cube. Successfully Navigate and Configure Partitions. Use the Aggregation Design Wizard. Create and Configure a Data Profiling Task. Configure Proactive Cache. Deploy and Process a Project. Build a Cube. There are some striking differences between SQL and MDX, and you should be aware of these differences at a conceptual level. The principal difference between SQL and MDX is the ability of MDX to reference multiple dimensions. Although it is possible to use SQL exclusively to query cubes, Analysis Services MDX provides commands that are designed specifically to retrieve data as multidimensional data structures with almost any number of dimensions. We will go over key concepts in multidimensional space and browse some basic MDX statements with specific coverage on navigating hierarchies and working with time. Concepts in Multidimensional Space Basic MDX Statements SQL Server Management Studio MDX Query Editor Navigating Hierarchies Working with Time MDX Calculations Lab 1: Microsoft Multidimensional Expressions Explore MDX Write MDX (Optional) Explore MDX – Immediate Relatives Write MDX – Immediate Relatives (Optional) Working with Time Writing MDX - Working with Time (Optional) Understand the Functionality of MDX. Write MDX. Understand How to Use MDX to Navigate Hierarchies. Write MDX Navigating Hierarchies. Understand Working with Time in MDX. Write MDX Working with Time. If you are starting an Analysis Services 2012 project with no previous Multidimensional or OLAP experience, it is very likely that you will find tabular much easier to learn than multidimensional. Not only are the concepts much easier to understand, especially if you are used to working with relational databases, but the development process is also much more straightforward and there are far fewer features to learn. Building your first tabular model is much quicker and easier than building your first multidimensional model. It can also be argued that DAX is easier to learn than MDX, at least when it comes to writing basic calculations, but the truth is that both MDX and DAX can be equally confusing for anyone used to SQL. In this module we cover the basics of using tabular mode and the tools available. The Tabular Model Data Analytic Expressions (DAX) The Editor Data Connections Creating a Tabular Project Relationships Measures and Calculated Columns Hierarchies Perspectives KPIs Partitions Processing Deployment Lab 1: SQL 2012 Business Intelligence Semantic Model (Tabular Mode) Creating a Project and Importing Data Manually Add a Relationship Create Measures and Calculated Columns Create Hierarchies Create a Perspective Create a KPI Process Data and Deploy Connect to a Tabular Model Creating a Tabular Project. Import Data Using the Table Import Wizard. Manually Add a Relationship. Create Measures. Create Calculated Columns. Create Hierarchies. Create Perspectives. Create KPIs. Process Data. Deploy a Solution. Connect to a Tabular Model Using Excel. In this module we will cover the new and exciting features available in SQL 2012 Reporting Services. Report Lifecycles are discussed along with the tools available to create just about any type of report you can think of. Effective reporting is a key element in business intelligence and this module covers all the basics. Report Lifecycles Installation Modes Report Creation Tools Data Sources Datasets Basic Reports Graphics Maps Report Parts Lab 1: SQL Server 2012 Reporting Services Using Report Manager Using Report Designer Data Sources and Datasets Basic Reports Graphics Basic Maps Basic Maps with Color Report Parts Locate, Access and Use Report Manager. Use Report Designer. Create and Configure Data Sources. Create and Configure Datasets. Create and Configure a Basic Report. Create and Configure Graphics. Create and Configure Maps Create and Configure Report Parts. It is often said that Master Data Management (MDM) enables an enterprise to create and use a “single version of the truth”. Master data management applies almost all industries and covers a broad category of corporate data. This module covers Master Data Management and explains what it is and why it is important. Along with covering system roles and the differences between master data and transactional data, we also go over key concepts in Master Data Services and the benefits of proper implementation. What is Master Data Management? System Roles Master Data vs. Transactional Data Master Data Services ETL Master Data Services Key Concepts Lab 1: Master Data Services Create a Model Create Entities Create Members Create Attributes Create a Business Rule Deploy Model Load Data Create a Subscribing View Create and Configure a Model. Create and Configure Entities. Create and Configure Members. Create and Configure Attributes. Create a Business Rule. Deploy a Model. Load Data. Create a Subscribing View. Data Mining using SQL Server 2012 uses the concept of a SQL Service not an application. Because it is a service and not an application the software has the ability to scale unlike an application. In this module we explain the concept of data mining and how it can be a valuable tool in your business intelligence arsenal. This module is a subset of the course on Data Mining which is in-development. Definitions for Our Purpose Problems Addressed Business Analytics CRISP-DM Key Concepts Microsoft Data Mining Process Data Mining Tasks Microsoft Algorithms Matching the Tasks to the Algorithm Data Mining Add-in for Excel PowerPivot for Excel Lab 1: Data Mining/Predictive Analytics Using the Data Mining Add-in for Excel Use the Data Mining Add-in for Excel. In this module, we will explore the new and improved 2013 SharePoint Central Administration site. We are going to cover specifically the new 2013 Business Intelligence Center template within SharePoint. We are also going to cover some things that generically apply to SharePoint that you can use within business intelligence. Permissions and Roles will be illuminated and the included Document Library and List apps will be explained. User Interface Libraries and Lists (Apps) Permissions Quick Architecture Central Administration Lab 1: SharePoint 2013 Business Intelligence Center Introduction to the Business Intelligence Center Libraries, Lists, and Content Types Permissions and Sharing Central Administration Tour and Web Application Creation Explore the options and settings available within the new SharePoint 2013 Central Administration. Create a new web application and business intelligence site while exploring the features of both. In this module, we will go over all the new 2013 Excel Services features, and we will explore the core components of Excel Services. We will cover Excel Web Access and it’s capabilities along with any differences you may encounter in the browser as opposed to the desktop client. There is coverage of the Power View add-in for Excel, and then lastly we will explain the save and share process and have a look at best practices. New 2013 Excel Services Features Core Components Excel Web Access (EWA) What Excel Web Access is Not SharePoint Libraries to Store Workbooks Power View Excel 2013 and SharePoint 2013 Excel Web Access Web Part Excel Interactive View Best Practices Lab 1: SharePoint 2013 Excel Services Creating a Library to Hold Excel 2013 Workbooks Power View Creating a Web Part Page and Adding an Excel Web Part Create a SharePoint library to hold Excel workbooks and explore trusted file locations. Utilize the Power View add-in for Excel Add Web Apps to a webpage. In this module, we will give you an overview of the new 2013 PerformancePoint Services features. Dashboard Designer is explored along with many of the objects and connections available within. What’s New? PerformancePoint Object Hierarchy Dashboard Designer Dashboards (Web Part Page) Indicators Data Sources Key Performance Indicators as PerformancePoint Objects Scorecards Filters Dashboards (Web Part Page) Revisited Dashboard Designer Management Lab 1: SharePoint 2013 PerformancePoint 2013 Dashboard Designer Introduction Dashboard (Web Part Page Creation) Data Sources SQL Server Analysis Services (SSAS) Data Sources SQL, List, Excel Services KPI Basics Connect to a List and SQL KPI Multidimensional Scoring Patterns KPI Using Dimensional Slicers KPI Change the “Worst” Value Objective KPI Configure Time Intelligence Analytic Charts or Grids Other Reports Reporting Services Report KPI Details Report Connected Scorecards Combining Connected and Standard KPIs Scorecard Settings MDX Query (Optional) Member Selection Filter Named Set Filter Time Intelligence Filter Cascading Filters Dashboards (Web Part Pages) Dashboard Designer Management Explore the Dashboard Designer interface and know how to create and configure a data source. Create and configure a standard KPI and a scorecard. Create and configure a leaf KPI and a scorecard. Create two blank KPI’s and then roll them into an objective KPI. Create and configure an analytic chart and an analytic grid, add them to a dashboard, deploy them to SharePoint, and explore the options available. Create and configure a filter. Create and configure a cascading filter. Create a Time Intelligence filter, and use it in a scorecard. Create a cascading filter. Navigate and utilize some of the management features within Dashboard Designer. Create a new dashboard. Visio drawings can be extremely effective and in this module we cover the shared service that allows users to share and view them. We will go over all the new 2013 Visio Services features and also discuss data-connected drawings and how to configure them. There is also a section on viewing drawings within a browser. What’s New in Visio Services 2013? Visio Graphics Service Visio Drawings in the Browser Visio Graphics Web Access Part Visio Drawings with Data Connections Lab 1: SharePoint 2013 Visio Services Visio Drawing in the Browser Visio Services Data-Connected Drawing PerformancePoint Dashboard Strategy Maps Create a drawing, upload the document to the Student BI Site documents library, and view the drawing in a browser. Create a data-connected drawing and upload the document to the Student BI Site documents library. Create an objective scorecard and matching strategy map, place them in a dashboard, and then upload the dashboard to the Student BI Site. PowerPivot is not a feature of SharePoint business intelligence, however, an Excel workbook with PowerPivot can be saved to a SharePoint site and then used in a business intelligence scenario. This module is intended as an overview of the product only and covers all the new features available in the 2013 release of the add-in. PowerPivot and Excel 2013 PowerPivot and SharePoint Enterprise Business Intelligence and PowerPivot Enriching Data Lab 1: PowerPivot Import Data from SQL Review and Edit the Imported Relationships Hide Unused Columns Create a PivotTable Use PowerPivot within Excel to import a table from SQL Server. View the relationships existing within the imported tables from SQL Server and then import an additional table and configure a relationship between it and the existing. Hide columns they don’t want reflected in the resulting PivotTable. Create a PivotTable within an existing worksheet. In this module we will explore the new features available within SharePoint 2013 Business Connectivity Services, how to configure the security, and clarify the terminology. What is Business Connectivity Services? BCS Terminology Business Connectivity Services and Apps From SharePoint 2013 Using SharePoint Designer with BCS Surfacing the BCS Data Lab 1: SharePoint 2013 Business Connectivity Services Setting Permissions on the BDC Store Creating an External Content Type Creating an External List Assign administrators and permissions on the BDC Metadata Store. Create and configure a new external content type. Create an external list. This module borrows from the three-day Microsoft course on Dashboards number 50596A. Monitoring, analyzing, and managing dashboards are discussed along with details on how to use them most effectively. This module does not cover Dashboard Designer as it is covered in more detail in the PerformancePoint Services module. Coverage of the Microsoft Report Builder 3.0 tool is brief as this course focuses on the SharePoint space. Dashboard Design Capabilities Summarization Three Types of Dashboards Successful Dashboards Tables or Graphs Types of Graphs Choosing a Chart Type Key Performance Indicators Pitfalls In Dashboard Design Microsoft Report Builder 3.0 Plan Your Reports Datasets SharePoint Web Parts Lab 1: Dashboards Explore the Report Builder 3.0 Interface (Optional) Create an Embedded Data Source into SQL 2012 Engine (Optional) Create an Embedded Dataset into SQL 2012 Engine (Optional) Create an Embedded Data Source into SQL 2012 Analysis Services (Optional) Create an Embedded Dataset into SQL 2012 Analysis Services (Optional) Create a Shared Data Source Using Reporting Services (Optional) Create a Shared Dataset Using the Shared Data Source (Optional) Navigate the Report Builder 3.0 interface. Create an embedded data source connecting into a database. Create an embedded data source connecting into an OLAP database. Create a shared data source using Reporting Services. Create a shared dataset using the shared connection created in the previous exercise.
Each of the modules is stand-alone allowing for customization of the course for those audiences that may not have an interest in a certain service.
At Course Completion
Prerequisites
Target Student
Course duration
5 Days
Course outline
Module 1: Course Overview