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Developing SQL Data Models Training (20768)
Level: Intermediate
Rating:
4.60/5 Based on 45 Reviews
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.
Plus, get prepped for Microsoft exam 70-768, a requirement for MCSA: SQL 2016 BI Development and MCSE: Data Management and Analytics.
Key Features of this SQL Data Modeling Training:
- Microsoft Official Course (MOC) content
- Choose from on-demand and instructor-led blended learning options
- After-course instructor coaching benefit
- Prepare for Microsoft 70-768 certification exam, Developing SQL Data Models
- Eligible to use with your Microsoft Software Assurance Training Vouchers (SATVs)
You Will Learn How 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
Choose the Training Solution That Best Fits Your Individual Needs or Organizational Goals
ON DEMAND
On Demand + Instructor Coaching
- The same high quality MOC content as the live event
- Flexibility to take the course on your own time, at your own pace
- Enjoy a blend of video, text, hands-on labs, and knowledge checks with on demand training
- Forever access to the digital course materials – including future course content updates
LIVE, INSTRUCTOR-LED
In Class & Live, Online Training
- 3-day instructor-led training course
- Microsoft Certified training
- SATV eligible
- One-on-one after course instructor coaching
- Pay later by invoice -OR- at the time of checkout by credit card
TRAINING AT YOUR SITE
Team Training
- Bring this or any training to your organization
- Full - scale program development
- Delivered when, where, and how you want it
- Blended learning models
- Tailored content
- Expert team coaching
Customize Your Team Training Experience
CONTACT USSave More On Training with FlexVouchers – A Unique Training Savings Account
Our FlexVouchers help you lock in your training budgets without having to commit to a traditional 1 voucher = 1 course classroom-only attendance. FlexVouchers expand your purchasing power to modern blended solutions and services that are completely customizable. For details, please call 888-843-8733 or chat live.
On Demand + Instructor Coaching
SQL Data Modeling Course Information
-
On-Demand Training Description
With a blend of video, text, hands-on labs, and knowledge checks, you will receive the same high quality content as the live event, but you can attend on your own time, at your own pace.
PLUS, we include access to a Microsoft Certified Trainer (MCT) to help you prepare for your certification exam and help you apply your new skills immediately… Learning Tree knows how to bring learning to life!
- Flexibility to take the course on your own time, at your own pace
- Forever access to the digital course materials – for any refreshers
- You will receive a code with your purchase.The code may be redeemed for online access to this On Demand course for up to six months
- Upon course activation, the MOC On Demand videos and labs are available for three months
- 2 FREE hours of individual coaching from an MCT Learning Tree Instructor
- This delivery is also eligible for Microsoft Assurance Training Vouchers (SATVs)
-
Requirements
- 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
- This course requires that you meet the following prerequisites:
-
Exam Information
- This course helps you prepare for the Microsoft 70-768 certification exam, Developing SQL Data Models.
-
Redeem Your Microsoft Training Vouchers (SATV):
- This course is eligible for Microsoft Software Assurance Training Voucher (SATV) redemption.
- Want to learn more about Microsoft SATVs? Click to view our SATVs infographic.
SQL Data Modeling Course 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
After completing this module, students 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
- Define 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
After completing this module, students 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
After completing this module, students 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
After completing this module, students 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
After completing this module, students 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 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
- 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: Perform Predictive Analysis with 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
In Class & Live, Online Training
Time Zone Legend:
Note: This course runs for 3 Days
-
Sep 18 - 20 9:00 AM - 4:30 PM EDT Herndon, VA / Online (AnyWare) Reserve Your Seat
-
Nov 20 - 22 9:00 AM - 4:30 PM EST Ottawa / Online (AnyWare) Reserve Your Seat
-
Jan 15 - 17 9:00 AM - 4:30 PM EST New York / Online (AnyWare) Reserve Your Seat
-
Feb 19 - 21 9:00 AM - 4:30 PM EST Alexandria, VA / Online (AnyWare) Reserve Your Seat
-
Mar 11 - 13 9:00 AM - 4:30 PM EDT Herndon, VA / Online (AnyWare) Reserve Your Seat
-
Apr 29 - May 1 9:00 AM - 4:30 PM EDT Ottawa / Online (AnyWare) Reserve Your Seat
Guaranteed to Run
When you see the "Guaranteed to Run" icon next to a course event, you can rest assured that your course event — date, time, location — will run. Guaranteed.SQL Data Modeling Course Information
-
On-Demand Training Description
With a blend of video, text, hands-on labs, and knowledge checks, you will receive the same high quality content as the live event, but you can attend on your own time, at your own pace.
PLUS, we include access to a Microsoft Certified Trainer (MCT) to help you prepare for your certification exam and help you apply your new skills immediately… Learning Tree knows how to bring learning to life!
- Flexibility to take the course on your own time, at your own pace
- Forever access to the digital course materials – for any refreshers
- You will receive a code with your purchase.The code may be redeemed for online access to this On Demand course for up to six months
- Upon course activation, the MOC On Demand videos and labs are available for three months
- 2 FREE hours of individual coaching from an MCT Learning Tree Instructor
- This delivery is also eligible for Microsoft Assurance Training Vouchers (SATVs)
-
Requirements
- 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
- This course requires that you meet the following prerequisites:
-
Exam Information
- This course helps you prepare for the Microsoft 70-768 certification exam, Developing SQL Data Models.
-
Redeem Your Microsoft Training Vouchers (SATV):
- This course is eligible for Microsoft Software Assurance Training Voucher (SATV) redemption.
- Want to learn more about Microsoft SATVs? Click to view our SATVs infographic.
SQL Data Modeling Course 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
After completing this module, students 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
- Define 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
After completing this module, students 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
After completing this module, students 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
After completing this module, students 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
After completing this module, students 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 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
- 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: Perform Predictive Analysis with 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
Team Training
SQL Data Modeling Training FAQs
-
What is a SQL data model?
Multidimensional databases using SQL Server Analysis Service (SSAS), SQL data models are created for analyzing SASS.
-
Can I learn to develop SQL data models online?
Yes! We know your busy work schedule may prevent you from getting to one of our classrooms which is why we offer convenient online training to meet your needs wherever you want, including online training.
-
Can I use SATVs to take this SQL Data Modeling course?
Yes! This course is eligible for Microsoft Software Assurance Training Voucher (SATV) redemption.
-
Which Microsoft exam does this SQL Data Modeling course prepare me for?
This course helps prepare you for the Microsoft 70-768 certification exam, Developing SQL Data Models.
-
Is this Data Modeling course part of a Microsoft SQL Server certification path?
Yes! It fulfills a requirement for MCSA: SQL 2016 BI Development and MCSE: Data Management and Analytics certifications.
Related SQL Server Training
Implementing a SQL Data Warehouse Training (20767)Managing SQL Business Intelligence Operations Training (10988)
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