Course Duration
4 Days
Microsoft
Authorized Training
IT
Course cost:
was £2,925 + VAT
£2,633 + VAT
IT Certification Overview
In this course you are going to learn how to use Microsoft SQL Server 2025 Integration Services to automate a variety of data management operations, such as data extraction, transformation and loading, file management, migrating data between data systems, etc. You are also going to gain first-hand experience in Integration Services solution development, deployment, configuration, administration, execution, and monitoring.
This 4-day instructor-led training course focuses on developing and managing automated data management processes in an enterprise. The course is centered around a typical data warehouse management solution implementing the ETL (Extract-Transform-Load) data management concept, where data is extracted from one or more sources, transformed, cleansed, and validated, to finally be loaded into one or more destinations of a data warehouse (or a data mart) for use in Business Intelligence operations.
In the hands-on labs at the end of each module, you are going to learn first-hand how to automate data management operations using Integration Services, as well as how to develop efficient and scalable data warehouse management solutions – either on your own, or as part of a development team.
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Prerequisites
It is recommended that the students are familiar with the Microsoft Windows operating system, its components and services, and the Windows security model.
Basic experience with Microsoft SQL Server, working with databases and data objects, is recommended but not required.
The students should have at least an understanding of business intelligence and data integration at conceptual level.
No prior experience with SQL Server Integration Services is required.
Target audience
This course is intended for database professionals in charge of existing ETL or data warehousing solutions, as well as those who are just starting with ETL or data warehousing. The course helps junior developers gain their first experience working with Integration Services, provides seasoned developers with new insights and opportunities to improve their knowledge, and offers development team leads new perspectives on the development of efficient and scalable data management solutions.
The target audience for this session are IT professionals, database administrators, and developers, interested in data integration, data warehouse management, and the delivery of Integration Services solutions from development to production.
Learning Objectives
Upon completion of this course, the student is going to be able to:
- Examine and understand existing SSIS projects and packages.
- Design and develop new SSIS projects and packages.
- Automate file and data management operations.
- Understand and implement ETL concepts in data warehouse maintenance of star-schema (as well as snowflake-schema) data stores, including dimension and fact table ETL.
- Automate data transfer into SQL Server Analysis Services databases.
- Optimize data extraction, transformation, and loading.
- Configure, deploy, administer, execute, and monitor the execution of, SSIS packages.
Accelerated SQL Server Integration Services Course Content
Section A
Overview of Data Warehousing and SQL Server Integration Services
Module 01 – SSIS Overview and Core Features
- Introduction to business intelligence
- Microsoft tools for BI
- Introduction to data integration
- SSIS features overview
Lab 01 – SSIS Overview and Core Features
Exercise 1 – Using the Import and Export Wizard
Exercise 2 – Creating a New SSIS Project
Exercise 3 – Modifying and Executing an SSIS Package in Debug Mode
Module 02 – Data Warehousing
- Dimensional modeling
- Optimizing a dimensional database
- Data preparation for advanced analytics
Lab 02 – Preparing a Data Warehouse
Exercise 1 – Creating Schemas and Dimensions
Exercise 2 – Creating the Fact Table
Exercise 3 – Populating the Date Dimension
Module 03 – SSIS Control Flow Objects and Features
- What is Control Flow
- Control Flow Concepts
- Control Flow Objects – Tasks, Constraints, Containers
- Control Flow Features – Parameters and Variables, SSIS Expression Language
Lab 03 – Using the Control Flow to Orchestrate SSIS Execution
Exercise 1 – Create an SSIS Package to Automate a Simple Data Movement
Exercise 2 – Determining Sequences and Parallelism in SSIS Package Design
Module 04 – Extracting, Transforming, and Loading Data using SSIS Data Flows
- The SSIS Data Flow Task
- Data Flows and Data Paths
- Data Connections and Connection Managers
- Data Flow Components
Lab 04 – Using Data Flows to Move Data in SSIS
Exercise 1 – Merging Multiple Sources into a Single Destination
Exercise 2 – Managing New and Modified Rows in a Data Flow
Section B
Application of SSIS to Automate Common Operations
Module 05 – Working with Files, Importing and Exporting File Data
- Using SSIS to Automate File System Maintenance
- Extracting Data from Files
- Loading Data into Files
- Excel Considerations
Lab 05 – Working with Files in SSIS
Exercise 1 – Extracting Data from Flat Files
Exercise 2 – Using the Foreach Loop Container to Process Multiple Files
Module 06 – Optimizing Data Extraction and Data Loading
- Data Extraction Optimization Essentials
- Determining the “Delta”
- Change Tracking
- Data Loading Optimization Essentials
Lab 06 – Using Change Tracking in SSIS Data Flows
Exercise 1 – Preparing the Source and the Staging Database
Exercise 2 – Creating the Data Warehouse Maintenance Package
Exercise 3 – Performing Data Maintenance
Module 07 – Data Quality and Cleansing
- Data Quality
- Data Profiling
- Fuzzy Transformations
Lab 07 – Data Quality
Exercise 1 – Profiling Data in SSIS
Exercise 2 – Cleansing Data using the Fuzzy Lookup Transformation
Module 08 – Advanced Enterprise Information Management
- Script Task and Script Component
- Text Mining
- Advanced Analysis and SSIS
Lab 08 – Validating Data against Regular Expressions
Exercise 1 – Using the Script Task to Process the Data Profiling Results
Exercise 2 – Validate Email Addresses
Section C
Application of SSIS to Automate Data Warehouse Management Operations
Module 09 – Dimension ETL with SSIS
- Dimension ETL Theory
- SQL Server Temporal Tables
- SSIS Slowly Changing Dimension Wizard
- Custom Dimension ETL
Lab 09 – Dimension ETL with SSIS
Exercise 1 – Designing the Initial Load of Dimensions and Staging Tables
Exercise 2 – Using the SCD Wizard
Exercise 3 – Designing a Custom SCD Solution
Module 10 – Fact ETL with SSIS
- Fact Table ETL Theory
- Data Preparation for Fact Tables
- Advanced Concepts
Lab 10 – Fact ETL with SSIS
Exercise 1 – Staging the Fact Data
Exercise 2 – Using T-SQL to Identify Dimension Keys
Exercise 3 – Using SSIS to Identify Dimension Keys
Module 11 – Introducing Personal Enterprise Information Management
- Power Pivot
- Power Query
Lab 11 – Power Query
Exercise 1 – Extracting Data with Power Query
Exercise 2 – Combining the Results of Two Queries
Module 12 – Processing SSAS Objects in SSIS
- SSAS Tabular and Multidimensional
- Processing Methods in SSIS
- Dynamic Processing and Partition Creation
Lab 12 – Analysis Services Processing
Exercise 1 – Deploying and Using an SSAS Cube
Exercise 2 – Processing an SSAS Cube
Section D
Deployment, Configuration, Administration, Execution, and Monitoring
Module 13 – Project Deployment
- Project Deployment Model
- Deployment to the SSISDB Catalog
- Administration, Security, Configuration
- Execution
- Monitoring
- The Master Package Concept
Lab 13 – SSIS Project Deployment, Configuration, Execution, and Monitoring
Exercise 1 – Preparing the SSISDB Catalog, Deploying SSIS Projects, and Creating SSISDB Environments
Exercise 2 – Configuring, Validating and Executing SSIS Packages
Exercise 3 – Scheduling the Execution of an SSIS Package
Module 14 – Package Deployment
- Package Deployment Model
- Deployment to the SSIS package store
- Administration, Configuration, and Security
- Execution
- Monitoring and Logging
Lab 14 – SSIS Package Deployment, Configuration, Execution, and Monitoring
Exercise 1 – Organizing the msdb SSIS package store, and Configuring SSIS Packages
Exercise 2 – Implementing Custom Logging, and Deploying SSIS Packages
Exercise 3 – Validating and Executing SSIS Packages, and Monitoring Their Use
Section E
Efficiency and Scalability
Module 15 – Transactions and Restartability
- Using Breakpoints in the SSIS Designer
- Implementing Transactions in SSIS
- Using SQL Server Database Snapshots
- Restartability of SSIS Packages
- Responding to Events
Lab 15 – Using Transactions and Checkpoints in SSIS Packages
Exercise 1 – Using Transactions in SSIS
Exercise 2 – Using Checkpoints in SSIS
Module 16 – Optimization and Scalability
- Leveraging SSIS and Transact-SQL
- Data Flow Engine Internals
- SSIS Optimization Techniques
- SSIS Performance Troubleshooting
Lab 16 – Optimizing SSIS Packages for Performance
Exercise 1 – Using Memory-Optimized Staging Tables
Exercise 2 – Optimizing SSIS Packages
Accelerated SQL Server Integration Services Dates
Next 1 available training dates for this course
VIRTUAL
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