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Implementing Data Models and Reports with SQL Server 2014

Codice corso: 20466D
Durata corso: 5gg

Introduzione

The focus of this five-day instructor-led course is on creating managed enterprise BI solutions. It describes how to implement multidimensional and tabular data models, deliver reports with Microsoft® SQL Server® Reporting Services, create dashboards with Microsoft SharePoint Server PerformancePoint Services, and discover business insights by using data mining.

Note: This course is designed for customers who are interested in learning SQL Server 2012 or SQL Server 2014. It covers the new features in SQL Server 2014, but also the important capabilities across the SQL Server data platform.

This course is intended for database professionals who need to fulfill a Business Intelligence Developer role to create analysis and reporting solutions. Primary responsibilities include:

Implementing analytical data models, such as OLAP cubes.

Implementing reports, and managing report delivery.

Creating business performance dashboards.

Supporting data mining and predictive analysis.

Obiettivi del corso

After completing this course, students will be able to:

Describe the components, architecture, and nature of a BI solution

Create a multidimensional database with Analysis Services

Implement dimensions in a cube

Implement measures and measure groups in a cube

Use MDX Syntax

Customize a cube

Implement a Tabular Data Model in SQL Server Analysis Services

Use DAX to enhance a tabular model

Create reports with Reporting Services

Enhance reports with charts and parameters

Manage report execution and delivery

Implement a dashboard in SharePoint Server with PerformancePoint Services

Use Data Mining for Predictive Analysis

Prerequisiti

This course requires that you meet the following prerequisites:

At least 2 years’ experience of working with relational databases, including:

Designing a normalized database

Creating tables and relationships

Querying with Transact-SQL

Some basic knowledge of data warehouse schema topology (including star and snowflake schemas)

Some exposure to basic programming constructs (such as looping and branching)

An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable

Struttura del Corso

MODULE 1: Introduction to Business Intelligence and Data Modeling

As a SQL Server database professional, you may be required to participate in, or perhaps even lead, a project with the aim of implementing an effective enterprise BI solution.

Therefore, it is important that you have a good understanding of the various elements that comprise a BI solution, the business and IT personnel typically involved in a BI project, and the Microsoft products that you can use to implement the solution.

Lessons

After completing this module, you will be able to:

Describe the elements of a typical Business Intelligence solution

Select appropriate Microsoft Technologies for a BI solution

Describe key considerations for planning a BI project

Lab : Exploring a BI Solution

MODULE 2: Creating Multidimensional Databases

This module provides an introduction to multidimensional databases and introduces the core components of an Online Analytical Processing (OLAP) cube.

Lessons

After completing this module, you 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

Lab : Creating a Multidimensional Database

MODULE 3: Working with Cubes and Dimensions

This module describes how to create and configure dimensions and dimension hierarchies in an Analysis Services multidimensional data model.

Lessons

After completing this module, you will be able to:

Configure dimensions

Define Attribute Hierarchies

Sort and Grouping Hierarchies

Lab : Working with Cubes and Dimensions

MODULE 4: Working with Measures and Measure Groups

This module describes measures and measure groups.

It also explains how you can use them to define fact tables and associate dimensions with measures.

Lessons

After completing this module, you will be able to:

Configure Measures

Configure Measure Groups

Lab : Configuring Measures and Measure Groups

MODULE 5: Introduction to MDX

This module describes the fundamentals of MDX and explains how to build calculations, such as calculated members and named sets.

Lessons

After completing this module, you will be able to:

Describe MDX

Add calculations to a cube

Describe and use MDX to Query a Cube

Lab : Using MDX

MODULE 6: Customizing Cube Functionality

This module describes how to enhance a cube with Key Performance Indicators (KPIs), actions, perspectives, and translations.

Lessons

After completing this module, you will be able to:

Implement Key Performance Indicators

Implement Actions

Implement Perspectives

Implement Translations

Lab : Customizing a Cube

MODULE 7: Implementing an Analysis Services Tabular Data Model

This module describes Analysis Services tabular data models and explains how to develop a tabular data model using the SQL Server Data Tools for Business Intelligence (BI) add-in for Visual Studio.

Lessons

After completing this module, you will be able to:

Describe Analysis Services Tabular Data Models projects

Implement an Analysis Services Tabular Data Model

Use an Analysis Services Tabular Data Model in an Enterprise BI Solution

Lab : Implementing an Analysis Services Tabular Data Model

MODULE 8: Introduction to Data Analysis Expression (DAX)

This module explains 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 them in your tabular data models.

Lessons

After completing this module, you will be able to:

Describe the fundamentals of DAX.

Using DAX to Create calculated Columns and Measures in a Tabular Data Model

Lab : Creating Calculated Columns and Measures by using DAX

MODULE 9: Implementing Reports with SQL Server Reporting Services

This module introduces Microsoft SQL Server Reporting Services and discusses the tools and techniques that a professional BI developer can use to create and publish reports.

Lessons

After completing this module, you 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

Publish and view a report

Showing Data Graphically

Filtering Reports Using Parameters

Lab : Creating a Report with Report Designer

MODULE 10: Automating Report Execution and Delivery

This module describes how to apply security and report execution settings, and how to create subscriptions to deliver reports.

Lessons

After completing this module, you will be able to:

Configure Security Settings for a report server

Configure Report Execution settings to optimize performance

Use Subscriptions and Alert to automate report and data delivery

Troubleshoot Reporting Services issues

Lab : Implementing Report Subscriptions

MODULE 11: Delivering BI with SharePoint PerformancePoint Services

This module introduces Microsoft SharePoint Server as a platform for BI, and then focuses on building BI dashboards and scorecards with PerformancePoint Services.

Lessons

After completing this module, you will be able to:

Describe SharePoint Server as a BI platform

Planning Security for a SharePoint Server BI Solution

Use PerformancePoint Services to deliver BI functionality

Configure PerformancePoint Data Sources

Create Reports, Scorecards, and Dashboards

Lab : Implementing PerformancePoint Services

MODULE 12: Performing Predictive Analysis with Data Mining

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 Microsoft Excel, and how to incorporate data mining results into Reporting Services reports.

Lessons

After completing this module, you 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

Connecting to and Consuming Data Mining Data

Use data mining data in a report

Lab : Using Data Mining to Support a Marketing Campaign

P.IVA 06249920965
C.C.I.A.A. REA: MI - 1880014
Cap. Soc. € 12.000,00

Contatti

V.le P.A. Pirelli 6,20126 Milano
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Tel.: +39 02 694 382 64
Fax.: +39 02 694 382 35

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