SQL Server 2019 Business Intelligence: Integration Services and Analysis Services
Duration: 35 hours
Prerequisites: Familiarity with database concepts
Students Will Learn:
- Structure and function of a data warehouse or data mart
- Data warehouse design to support enterprise reporting
- The role of SSIS within the business intelligence framework
- Developing SSIS Extract Transform Load (ETL) processes to populate data warehouses
- Functionality of all SSIS Control Flow tasks
- Deploying SSIS projects to SSIS Catalogs
- Configuring SSIS environments, runtime variables and parameters
- BI Semantic Model
- Multidimensional Expressions (MDX) syntax
- Developing SSAS Multidimensional models
- Data Analysis Expressions (DAX)
- Developing SSAS Tabular models
- Deploying and securing Multidimensional and Tabular models
- Implementing SSAS Data Mining models for predictive analysis
- Consuming the BI Semantic Model in reports and dashboards
Course Description:
The focus of this course is to familiarize developers with the SQL Server Database Engine and the use of SQL Server Integration Services (SSIS) and SQL Server Analysis Services (SSAS) for Business Intelligence purposes by creating and populating data warehouses through ETL processing. Students will design an OLAP database utilizing a star schema (Data Warehouse), and then populate it using ETL routines designed in SSIS. After the data warehouse has been populated, SSAS will be used to build both Multidimensional and Tabular models that will serve as data sources for reports.
Students will learn how to design and build data warehouses and marts using SQL Server Management Studio. In a series of exercises, students develop SSIS packages designed to maintain a data warehouse using the Data Flow control flow task. Also demonstrated are other control flow tasks that can interact with an NTFS file system, FTP server, execute Win32 processes, send emails, and run .NET scripts.
Based on the populated data warehouse they have created, students will then learn how to develop both Multidimensional and Tabular SSAS models using the languages Multidimensional Expressions (MDX) and Data Analysis Expressions (DAX). Cubes will be customized to include Key Performance Indicators (KPIs), Calculated Members, Named Sets, Navigational Hierarchies, and Perspectives.
Course Overview:
Business Intelligence Framework Overview
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Integration Services Architecture
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Common SSIS Tasks
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Data Transformations
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Advanced SSIS Tasks
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Advanced Data Transformations
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SSIS Administration and Automation
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Data Warehouse Design
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Creating and Populating Data Warehouses
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Creating and Managing Cubes
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Multidimensional (MDX) Essentials
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MDX Functions
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Customizing Cubes
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Cube Deployment and Administration
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Creating and Customizing Tabular Models
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Understanding the Data Mining Process
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Working with Data Mining Structures
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Using the Semantic Models in the Presentation Layer
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Related Bootcamps:
Track | Duration | Price |
---|---|---|
Master SQL Server Developer | 5-course track 6-course track |
$6,000 $7,200 |
SQL Server Administrator | 2-course track 3-course track |
$2,400 $3,600 |
SQL Server Business Intelligence Developer | 4-course track | $4,800 |