20768 Developing SQL Data Models
CLASS DATE(s):
5/11/2020 - 5/13/2020
7/17/2020 - 2/19/2020
8/3/2020 - 8/5/2020

COURSE LENGTH: 3 Days

COURSE COST: $1495

COURSE TIMES: 9:00am - 4:30pm

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COURSE OVERVIEW

The focus of this 3-day instructor-led course is on creating managed enterprise BI solutions. It describes how to implement both multidimensional and tabular data models and how to create cubes, dimensions, measures, and measure groups. This course helps you prepare for the Exam 70-768.

AUDIENCE AND PREREQUISITES

The primary audience for this course are database professionals who need to fulfil BI Developer role to create enterprise BI solutions. Primary responsibilities will include:

  • Implementing multidimensional databases by using SQL Server Analysis Services
  • Creating tabular semantic data models for analysis by using SQL Server Analysis Services

The secondary audiences for this course are ‘power’ information workers/data analysts. Before attending this course, students must have:
  • Experience of querying data using Transact-SQL

PREREQUISITE COURSESFOLLOW UP COURSES  

*Course Cost listed does not include the cost of courseware or exam. Course is subject to a minimum enrollment to run. Course may run virtually as a Virtual Instructor-Led (VILT) class if the minimum enrollment is not met. If the course is under the minimum enrollment the course may run as 4 day class (Bootcamp Style). For more information, please contact learn@vtec.org or call 207-775-0244.

COURSE TOPICS:


Module 1: Introduction to Business Intelligence and Data Modeling
Introduction to Business Intelligence
The Microsoft business intelligence platform
Lab : Exploring a BI Solution

Module 2: Creating Multidimensional Databases
Introduction to multidimensional analysis
Creating data sources and data source views
Creating a cube
Overview of cube security
Configure SSAS
Monitoring SSAS
Lab : Creating a multidimensional database

Module 3: Working with Cubes and Dimensions
Configuring dimensions
Define attribute hierarchies
Sorting and grouping attributes
Slowly Changing Dimensions
Lab : Working with Cubes and Dimensions

Module 4: Working with Measures and Measure Groups
Working with measures
Working with measure groups
Lab : Configuring Measures and Measure Groups

Module 5: Introduction to MDX
MDX fundamentals
Adding calculations to a cube
Using MDX to query a cube
Lab : Using MDX

Module 6: Customizing Cube Functionality
Introduction to Business Intelligence
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
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)
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
Overview of data mining
Creating a Custom Data Mining Solution
Validating a data mining model
Connecting to and consuming a data mining model
Using the Data Mining add-in for Excel
Lab : Using Data Mining