Digi Academy

Microsoft End to End Business Intelligence Boot Camp

Digi Academy
A Milano

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Informazioni importanti

Tipologia Corso
Luogo Milano
Inizio Scegli data
  • Corso
  • Milano
  • Inizio:
    Scegli data
Descrizione

Introduction Course Materials Facilities Prerequisites What We'll Be Discussing After completing this module, students will be able to: Successfully log into their virtual machine. Have a full understanding of what the course intends to cover.

Strutture (1)
Dove e quando
Inizio Luogo
Scegli data
Milano
Via Valtellina, 63, 20124, Milano, Italia
Visualizza mappa
Inizio Scegli data
Luogo
Milano
Via Valtellina, 63, 20124, Milano, Italia
Visualizza mappa

Cosa impari in questo corso?

Web master
Server
Cache
Browser
Management
Business intelligence
SQL
Import
e-Business
Data Mining

Programma

We have split this module into sections. First, we are going to look at the three different ways in which business intelligence can be viewed. Then, we’re going to look at the services the SQL 2012 provides us and how they apply to business intelligence. We will then move to SharePoint 2010 and look at the SharePoint services to examine their relevance and how we can use them in business intelligence to surface data. Finally, we will look at PowerPivot.


Business Intelligence in Three Ways


SQL 2012 Business Intelligence


SharePoint 2010 Business Intelligence


PowerPivot


SQL 2012 Multidimensional Model Basics


SQL 2012 Tabular Model Basics


After completing this module, students will be able to:


Browse the data within the cube using SQL Server Management Studio.


Browse data using Visual Studio 2010.


Connect to a tabular source, import tables, and explore the data.


View finalized data in SharePoint.


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


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


After completing this module, students will be able to:


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


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


After completing this module, students will be able to:


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


Explore MDX


Write MDX (Optional)


Explore MDX – Immediate Relatives


Write MDX – Immediate Relatives (Optional)


Working with Time


Writing MDX - Working with Time (Optional)


After completing this module, students will be able to:


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


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


After completing this module, students will be able to:


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


Using Report Manager


Using Report Designer


Data Sources and Datasets


Basic Reports


Graphics


Basic Maps


Basic Maps with Color


Report Parts


After completing this module, students will be able to:


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


Create a Model


Create Entities


Create Members


Create Attributes


Create a Business Rule


Deploy Model


Load Data


Create a Subscribing View


After completing this module, students will be able to:


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


Using the Data Mining Add-in for Excel


After completing this module, students will be able to:


Use the Data Mining Add-in for Excel.


In this module, we are going to cover specifically the 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. Also covered are some concepts such as content types, which are handy to have a working knowledge of for anyone that works within SharePoint.


SharePoint Central Administration


The Business Intelligence Center


Permissions and Roles


Document Libraries and Lists Included


SharePoint Central Administration


SharePoint Business Intelligence Center (Optional)


After completing this module, students will be able to:


Explore the options and settings available within Central Administration.


Create a new web application and business intelligence site while exploring the features of both.


In this module, 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. Lastly we will explain the save and share process and have a look at best practices.


Core Components


Excel Web Access (EWA)


What Excel Web Access is Not


Differences in the Browser vs. Desktop


SharePoint Libraries to Store Workbooks


The Save and Share Process


Excel Web Part


Best Practices


Creating a Library to Hold Excel Workbooks


Save and Share an Excel Workbook to a SharePoint Document Library


Add an Excel Web Part to a Webpage


After completing this module, students will be able to:


Create a SharePoint library to hold Excel workbooks and explore trusted file locations.


Create an Excel workbook with a parameter and save it to a SharePoint document library.


Add Web Parts to a webpage.


In this module, we will give you an overview of PerformancePoint Services. Dashboard Designer is covered along with many of the objects and connections available within.


Overview of PerformancePoint Services


Dashboard Designer


Data Sources


Indicators


KPIs


Visual Reports


Filters


Scorecards


Dashboards


PerformancePoint Services Dashboard Designer Introduction and Data Source Configuration


Standard or Blank KPI Demonstration


Leaf KPI Demonstration


Objective KPI Demonstration


Visual Reports


PerformancePoint Filters


PerformancePoint Cascading Filters


Performance Point Time Intelligence Filters


Scorecard Settings


Scorecards Filtered Using the Wizard


PerformancePoint Dashboards


After completing this module, students will be able to:


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, and tie the filter into both the analytic chart and analytic grid created earlier.


Create and configure a cascading filter and then tie it into a new analytic chart and grid.


Create a Time Intelligence data connection, a Time Intelligence filter, and create a report using both.


Create four copies of the Objective Scorecard, configure settings in each of the four copies, and deploy them to SharePoint in a dashboard.


Create a new leaf KPI and use that KPI in two new scorecards, one with a filter configured, and one without.


Create a new dashboard with two pages and review editing options.


Visio drawings can be very effective and in this module, we cover the shared service that allows users to share and view them. Also discussed in this module are data-connected drawings and how to configure them, along with a section on viewing drawings within a browser.


Visio Graphics Service


Visio Drawings in the Browser


Visio Graphics Web Access Part


Visio Drawings with Data Connections


Visio Drawing in the Browser


Visio Services Data Connected Drawing


PerformancePoint Dashboard Strategy Maps


After completing this module, students will be able to:


Create a drawing, upload the document to the Student BI Site 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 but 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.


PowerPivot and Excel


PowerPivot and SharePoint


Enterprise Business Intelligence and PowerPivot


Importing Data


Enriching Data


SharePoint Sharing


Import Data from SQL


Review and Edit the Imported Relationships


Hide Unused Columns


Create a PivotTable


After completing this module, students will be able to:


Use PowerPivot within Excel to import a table from SQL Server.


View the relationships existing within the tables you just imported 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 cover Business Connectivity Services, how to configure the security and explain the terminology.


What is Business Connectivity Services?


BCS Terminology


BCS Security


Using SharePoint Designer with BCS


Surfacing the BCS Data


Setting Permissions on the BDC Store


Exploring Content Types in SharePoint


Add a Document Library Tied to Content Types


Creating an External Content Type


Creating an External List


Configuring the Business Connectivity Services for a Host URL & Setting up a Profile Page


Add a Custom Action to a List


After completing this module, students will be able to:


Assign administrators and permissions on the BDC Metadata Store.


Explore the different content types available in SharePoint and learn how to locate them and their corresponding settings.


Create a document library, configure it to accept specific content types, and then learn how to delete the document library.


Create and configure a new external content type.


Create an external list associated with the new external content type you created in the last exercise.


Create a new external content type and a new host URL, and then create an external list and profile page.


Add a custom action to 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.


In this module, we do not cover Dashboard Designer as it is covered in more detail in the module on PerformancePoint Services .


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