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20768: Developing SQL Data Models Training


What 20768: Developing SQL Data Models training is all about?

20768: Developing SQL Data Models Training is aimed at professionals to teach them the techniques to implement both tabular and multidimensional data modules. In this technical course, professionals will learn to create dimensions, cubes, measure groups, and measures. Our enterprise training program is best for large companies and organizations. It teaches individuals to create a multi-dimensional database using analysis services and enables them to use MDX syntax. This training program also helps professionals develop a conceptual understanding of the architecture, components, and nature of a BI solution. By the end of the course, trainees will learn to utilize data mining for predictive analysis, customize a cube, and implement dimensions. This training program is suitable for data analysts and power information workers who want to build credibility. It is also ideal for individuals who are preparing for exams 70-768.

This training is designed based on the objectives of the course variant 20768C.

3 SATVs applicable


Schedule
  • Delivery Format:
Date: Feb 03, 2021 | 9:00 am - 5:30 pm EST
Location: Online
$1725 USD
  • Delivery Format:
Date: Feb 10, 2021 | 9:00 am - 5:30 pm EST
Location: Online
$1725 USD
  • Delivery Format:
Date: Feb 17, 2021 | 9:00 am - 5:30 pm EST
Location: Online
$1725 USD
  • Delivery Format:
Date: Feb 24, 2021 | 9:00 am - 5:30 pm EST
Location: Online
$1725 USD
  • Delivery Format:
Date: Mar 03, 2021 | 9:00 am - 5:30 pm EST
Location: Online
$1725 USD
  • Delivery Format:
Date: Mar 10, 2021 | 9:00 am - 5:30 pm EST
Location: Online
$1725 USD
  • Delivery Format:
Date: Mar 17, 2021 | 9:00 am - 5:30 pm EST
Location: Online
$1725 USD
  • Delivery Format:
Date: Mar 24, 2021 | 9:00 am - 5:30 pm EST
Location: Online
$1725 USD
  • Delivery Format:
Date: Mar 31, 2021 | 9:00 am - 5:30 pm EST
Location: Online
$1725 USD
What are the course objectives for 20768: Developing SQL Data Models training?
  • Describing the architecture, components, and nature of Business Intelligence solution
  • Using Analysis Services to create a multidimensional database.
  • Implementing dimensions, measures, and measure groups in a cube.
  • Using MDX syntax.
  • Customizing cube.
  • Implementing a tabular database.
  • Querying a tabular model using DAX.
  • Use data mining to conduct predictive analysis
Who should attend 20768: Developing SQL Data Models training?

Existing database users wanting to fulfil Business Intelligence developer roles are the most suitable candidates for the program. After completing this course, the users will be able to use the Analysis service of SQL server to implement a multidimensional database. They will also be able to use the same Analysis service of SQL server to create tabular data for analysis.

What are the prerequisites for 20768: Developing SQL Data Models training?
  • Knowledge of Microsoft Windows operating system and core functionality
  • Experience of querying data using Transact-SQL
  • Knowledge of relational databases
What is the course outline for 20768: Developing SQL Data Models training?
  • 1. Introduction to Business Intelligence and Data Modeling
  • This module introduces key BI concepts and the Microsoft BI product suite.

  • 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.
  • 2. Creating Multidimensional Databases
  • This module describes how to create multidimensional databases using SQL Server Analysis Services.

  • 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, 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.
  • 3. Working with Cubes and Dimensions
  • This module describes how to implement dimensions in a cube.

  • 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
  • After completing this module, you will be able to:

  • Configure dimensions.
  • Define attribute hierarchies.
  • Implement sorting and grouping for attributes.
  • Implement slowly changing dimensions.
  • 4. Working with Measures and Measure Groups
  • This module describes how to implement measures and measure groups in a cube.

  • 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, you will be able to:

  • Configure measures.
  • Configure measure groups.
  • 5. Introduction to MDX
  • This module describes the MDX syntax and how to use MDX.

  • 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, you will be able to:

  • Use basic MDX functions.
  • Use MDX to add calculations to a cube.
  • Use MDX to query a cube.
  • 6. Customizing Cube Functionality
  • This module describes how to customize a cube.

  • 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, 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
  • 7. Implementing a Tabular Data Model by Using Analysis Services
  • This module describes how to implement a tabular data model in Power Pivot.

  • 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
  • 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.

  • 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
  • 9. Performing Predictive Analysis with Data Mining
  • This module describes how to use data mining for predictive analysis.

  • 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
FAQ's

Yes! We provide online training to help you learn to develop SQL data models.

Yes, 'Developing SQL Data Models - 70-768' certification course is eligible for Microsoft Software Assurance Training Voucher (SATV) redemption.

Yes! It fulfills the prerequisite for MCSA: SQL 2016 BI Development and MCSE: Data Management and Analytics certifications.

During the labs exercises, you will learn: Configure Dimensions; Define Relationships and Hierarchies; Sorting & Grouping Dimension Attributes.

During the labs exercises under this domain, you will learn: Configuring Measures; Defining Regular Relationships; Configuring Measure Group Storage.

3 Days | $ 1725
4.2
  259 Ratings

1567 Learners

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