Implementing data models and reports with SQL Server 2014

Learn about creating managed enterprise BI solutions

Course Code : 5044
Implementing data models and reports with SQL Server 2014 0 5 0

Overview

This five day course discusses how to implement multi-dimensional and tabular data models, deliver reports with Microsoft SQL Server reporting services, and create dashboards with Microsoft SharePoint Server PerformancePoint services. The course also helps participants discover business insights by using data mining. The course is helpful for participants who want to learn about SQL Server 2014 as well as SQL Server 2012.

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Course Delivery

This course is available in the following formats:

Live Classroom
Duration: 5 days

Live Virtual Classroom
Duration: 5 days

What You'll learn

  • 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

Outline

  • Introduction to Business Intelligence
  • The Microsoft Enterprise BI Platform
  • Lab: Exploring a BI Solution
  • Introduction to Multidimensional Analysis
  • Creating Data Sources and Data Source Views
  • Creating a Cube
  • Overview of Cube Security
  • Lab: Creating a Multi-dimensional Database
  • Configuring Dimensions
  • Defining Attribute Hierarchies
  • Sorting and Grouping Hierarchies
  • Lab: Working with Cubes and Dimensions
  • Working with Measures
  • Working with Measure Groups
  • Lab: Configuring Measures and Measure Groups
  • MDX Fundamentals
  • Adding Calculations to a Cube
  • Using MDX to Query a Cube
  • Implementing Key Performance Indicators
  • Implementing Actions
  • Implementing Perspectives
  • Implementing Translations
  • Lab: Customizing a Cube
  • Introduction to Tabular Data Models
  • Creating a Tabular Data Model
  • Using an Analysis Services Tabular Data Model in an Enterprise BI Solution
  • Lab: Implementing an Analysis Services Tabular Data Model
  • DAX Fundamentals
  • Using DAX to Create calculated Columns and Measures in a Tabular Data Model
  • Lab: Creating Calculated Columns and Measures by using DAX
  • Introduction to Reporting Services
  • Creating a Report with Report Designer
  • Grouping and Aggregating Data in a Report
  • Showing Data Graphically
  • Filtering Reports Using Parameters
  • Managing Report Security
  • Managing Report Execution
  • Delivering Reports with Subscriptions and Data Alerts
  • Troubleshooting Reporting Services
  • Lab: Implementing Report Subscriptions
  • Introduction to SharePoint Server as a BI Platform
  • Planning Security for a SharePoint Server BI Solution
  • Planning for PerformancePoint Services
  • Lab: Implementing PerformancePoint Services
  • Overview of Data Mining
  • Using the Data Mining Add-in for Excel
  • Creating a Custom Data Mining Solution
  • Validating a Data Mining Model
  • Connecting to and Consuming Data Mining Data
  • Lab: Using Data Mining to Support a Marketing Campaign
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Prerequisites

Participants need to have at least two years of experience working with relational databases, including designing a normalized database, creating tables and relationships, querying with Transact-SQL, as well as some basic knowledge of data warehouse schema topology (including star and snowflake schemas) and some exposure to basic programming constructs (such as looping and branching). Having awareness of key business priorities such as revenue, profitability and financial accounting is recommended for participants, though not mandatory.

Who Should Attend

The course is highly recommended for –

The course is highly recommended for –

  • SQL business intelligence developers
  • Data warehouse administrators
  • Data warehousing architects
  • Data engineers
  • Data architects
  • Data warehouse developers
  • Business analysts

ETL developers

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