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Developing SQL Data Models

  • Tuition USD $2,066 Save $230
  • Reviews star_rate star_rate star_rate star_rate star_half 1508 Ratings
  • Course Code 20768
  • Duration 3 days
  • Available Formats Virtual, Classroom



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.


Skills Gained

Aftercompleting 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 database
  • Use DAX to query a tabular model
  • Use data mining for predictive analysis

Who Can Benefit

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

Prerequisites

Before attending this course, students must have:

  • Experience of querying data using Transact-SQL

Course Details

Outline


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 BI Solution
  • Exploring a Data Warehouse
  • Exploring a data model

After completing this module, students will be able to:

  • Describe BI scenarios, trends, and project roles.
  • Describe the products that make up the Microsoft BI platform.

Module 2: Creating Multidimensional Databases
This module describes how to create multidimensional databases using SQL Server Analysis Services.
Lessons
  • Introduction to Multidimensional Analysis
  • Data Sources and Data Source Views
  • Cubes
  • Overview of Cube Security
  • Configure SSAS
  • Monitoring SSAS

Lab : Creating a multidimensional database
  • Creating a Data Source
  • Creating and Configuring a data Source View
  • Creating and Configuring a Cube
  • Adding a Dimension to a Cube

Aftercompleting this module, you will be able to:
  • Describe considerations for a multidimensional database.
  • Create data sources and data source views.
  • Create a cube
  • Implement security in a multidimensional database.
  • Configure SSAS to meet requirements including memory limits, NUMA and disk layout.
  • Monitor SSAS performance.

Module 3: Working with Cubes and Dimensions
This module describes how to implement dimensions in a cube.
Lessons
  • Configuring Dimensions
  • Defining Attribute Hierarchies
  • Implementing Sorting and Grouping Attributes
  • Slowly Changing Dimensions

Lab : Working with Cubes and Dimensions
  • Configuring Dimensions
  • Defining Relationships and Hierarchies
  • Sorting and Grouping Dimension Attributes

Aftercompleting this module, you will be able to:
  • Configure dimensions.
  • Define attribute hierarchies.
  • Implement sorting and grouping for attributes.
  • Implement slowly changing 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
  • Configuring Measures
  • Defining Regular Relationships
  • Configuring Measure Group Storage

Aftercompleting this module, you will be able to:
  • Configure measures.
  • Configure 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
  • Querying a cube using MDX
  • Adding a Calculated Member

Aftercompleting this module, you will be able to:
  • Use basic MDX functions.
  • Use MDX to add calculations to a cube.
  • Use MDX to query a cube.


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
  • Implementing an action
  • Implementing a perspective
  • Implementing a translation

Aftercompleting this module, you will be able to:
  • Implement KPIs in a Multidimensional database
  • Implement Actions in a Multidimensional database
  • Implement perspectives in a Multidimensional database
  • Implement translations in a Multidimensional database

Module 7: Implementing a Tabular Data Model by Using Analysis Services
This module describes how to implement a tabular data model in Power Pivot.
Lessons
  • Introduction to Tabular Data Models
  • Creating a Tabular Data Model
  • Using an Analysis Services Tabular Data Model in an Enterprise BI Solution

Lab : Working with an Analysis Services Tabular Data Model
  • Creating an Analysis Services Tabular Data Model
  • Configure Relationships and Attributes
  • Configuring Data Model for an Enterprise BI Solution.

After completing this module, students will be able to:

  • Describe tabular data models
  • Describe how to create a tabular data model
  • Use an Analysis Services Tabular Model in an enterprise BI solution



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
  • Creating Calculated Columns
  • Creating Measures
  • Creating a KPI
  • Creating a Parent Child Hierarchy

After completing this module, students will be able to:

  • Describe the key features of DAX
  • Create 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
  • 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
  • Creating a Data Mining Structure and Model
  • Exploring Data Mining Models
  • Validating Data Mining Models
  • Consuming a Data Mining Model
  • Using the Excel Data Mining add-in

After completing this module, students will be able to:

  • Describe considerations for data mining
  • Create a data mining model
  • Validate a data mining model
  • Connect to a data-mining model
  • Use the data mining add-in for Excel

How do I get a Microsoft exam voucher?

Pearson Vue Exam vouchers can be requested and ordered with your course purchase or can be ordered separately by clicking here.

  • Vouchers are non-refundable and non-returnable. Vouchers expire 12 months from the date they are issued unless otherwise specified in the terms and conditions.
  • Voucher expiration dates cannot be extended. The exam must be taken by the expiration date printed on the voucher.

Do Microsoft courses come with post lab access?

Most Microsoft official courses will include post-lab access ranging from 30 to 180 calendar days after instructor led course delivery. A lab training key in class will be provided that can be leveraged to continue connecting to a remote lab environment for the individual course attendee.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour-long after 3-3.5 hours of the class day.

What languages are used to deliver training?

Microsoft courses are conducted in English unless otherwise specified.

Class material was clear and well communicated. Virtual setup was easy. Plenty of material was provided ahead of time. Sean was a fantastic instructor.

The coursework is adequate to learn the materials covered, and the instructor did a very good job with presenting the material. Zoom worked out just fine as the conference calling platform of choice.

I had a good experience with ExitCertified. I got a deeper understanding of AWS and should be able to put it to practice immediately.

Delivered the expected level of training in an easier to understand way than expected.

Instructions were clear, lab exercises were pertinent and self-explanatory, topic was thoroughly covered in the presented course material.

2 options available

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  • Jan 25, 2021 Jan 27, 2021 (3 days)
    Location
    Virtual
    Language
    English
    Time
    08:30 16:30 EST
    Enroll
    Enroll
  • Apr 26, 2021 Apr 28, 2021 (3 days)
    Location
    Virtual
    Language
    English
    Time
    08:30 16:30 EST
    Enroll
    Enroll
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