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DEVELOPING SQL DATA MODELS (20768)

Microsoft DEVELOPING SQL DATA MODELS (20768)

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Duration: 3 Days

Descriptiion

This three-day instructor-led course is aimed at database professionals who fulfil a Business Intelligence (BI) developer role. This course looks at implementing multidimensional databases by using SQL Server Analysis Services (SSAS), and at creating tabular semantic data models for analysis with SSAS.

 

Prerequisites

This course requires that you meet the following prerequisites:
Basic knowledge of the Microsoft Windows operating system and its core functionality.
Working knowledge of Transact-SQL.
Working knowledge of relational databases.

Curriculum

Module 1: Introduction to Business Intelligence and Data Modeling
This module introduces key BI concepts and the Microsoft BI product suite.
Lessons
Introduction to Business Intelligence
The Microsoft business intelligence platform
Lab : Exploring a Data Warehouse

Module 2: Creating Multidimensional Databases
This module describes the steps required to create a multidimensional database with analysis services.
Lessons
Introduction to multidimensional analysis
Creating data sources and data source views
Creating a cube
Overview of cube security
Lab : Creating a multidimensional database

Module 3: Working with Cubes and Dimensions
This module describes how to implement dimensions in a cube.
Lessons
Configuring dimensions
Define attribute hierarchies
Sorting and grouping attributes
Lab : Working with Cubes and Dimensions

Module 4: Working with Measures and Measure Groups
This module describes how to implement measures and measure groups in a cube.
Lessons
Working with measures
Working with measure groups
Lab : Configuring Measures and Measure Groups

Module 5: Introduction to MDX
This module describes the MDX syntax and how to use MDX.
Lessons
MDX fundamentals
Adding calculations to a cube
Using MDX to query a cube
Lab : Using MDX

Module 6: Customizing Cube Functionality
This module describes how to customize a cube.
Lessons
Implementing key performance indicators
Implementing actions
Implementing perspectives
Implementing translations
Lab : Customizing a Cube

Module 7: Implementing a Tabular Data Model by Using Analysis Services
This module describes how to implement a tabular data model in PowerPivot.
Lessons
Introduction to tabular data models
Creating a tabular data model
Using an analysis services tabular model in an enterprise BI solution
Lab : Working with an Analysis services tabular data model

Module 8: Introduction to Data Analysis Expression (DAX)
This module describes how to use DAX to create measures and calculated columns in a tabular data model.
Lessons
DAX fundamentals
Using DAX to create calculated columns and measures in a tabular data model
Lab : Creating Calculated Columns and Measures by using DAX

Module 9: Performing Predictive Analysis with Data Mining
This module describes how to use data mining for predictive analysis.
Lessons
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 a data mining model
Lab : Perform Predictive Analysis with Data Mining

What’s Included:
Training Formats

With several convenient training delivery methods offered, The Academy makes getting the training you need easy. Whether you prefer to learn in a classroom or an online live learning virtual environment, training videos hosted online, and private group classes hosted at your site. We offer expert instruction to individuals, government agencies, non-profits, and corporations. Our live classes, on-sites, and online training videos all feature certified instructors who teach a detailed curriculum and share their expertise and insights with trainees. No matter how you prefer to receive the training, you can count on The Academy for an engaging and effective learning experience.

Methods

Speak to an Admissions Representative for complete details