20768: Developing SQL Data Models Training

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.

• 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

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.

• Knowledge of Microsoft Windows operating system and core functionality
• Experience of querying data using Transact-SQL
• Knowledge of relational databases

• 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.
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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