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Implementing Data Models and Reports with Microsoft SQL Server 2012

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

Introduction to Business Intelligence The Microsoft Business Intelligence Platform Exploring a Reporting Services Repot Exploring a PowerPivot Workbook Exploring a Power View Report After completing this module, students will be able to:

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?

Server
Security
Microsoft SQL Server
Reporting
Business intelligence
SQL
e-Business
Data Mining

Programma

Describe common BI scenarios and current BI trends.


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


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


Filtering Reports by Using Parameters


Publishing and Viewing a Report


Creating a Report


Grouping and Aggregating Data


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.


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


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.


Use report parts as reusable report elements.


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


Managing Report Security


Managing Report Execution


Subscriptions and Data Alert


Troubleshooting Reporting Services


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.


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


Creating a Data Source


Creating and Modifying a Data Source View


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.


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


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.


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


Configuring Measures


Defining Dimension Usage and Relationships


Configuring Measure Group Storage


After completing this module, students will be able to:


Describe measures.


Describe measure groups.


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


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.


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


Implementing an Action


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.


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


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.


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


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.


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


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.


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 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


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.


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


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.


Create a Data Mining solution.


Validate data mining models.


Use data mining data in a report.



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