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Mastering ETL and Data Integration with SQL Server Integration Services (SSIS)
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Course Overview
Welcome to “ Mastering ETL and Data Integration with SQL Server Integration Services (SSIS),” a practical course designed to equip aspiring data professionals and analysts with the essential skills needed to effectively manage data integration and transformation processes. In today’s data-driven environment, the ability to extract, transform, and load (ETL) large volumes of data is crucial for making informed business decisions.
This course provides a comprehensive introduction to SQL Server Integration Services (SSIS), a powerful tool that enables users to create and manage ETL processes. Participants will learn how to design, implement, and optimize data integration solutions by leveraging the features of SSIS. This includes connecting to various data sources, managing data flows, applying transformations, and effectively troubleshooting and monitoring ETL packages.
Launch your career in ETL development using SSIS by developing in-demand skills and become job-ready in 30 hours or less.
Highlights
Upgrade your career with top notch training
- Enhance Your Skills: Gain invaluable training that prepares you for success.
- Instructor-Led Training: Engage in interactive sessions that include hands-on exercises for practical experience.
- Flexible Online Format: Participate in the course from the comfort of your home or office.
- Accessible Learning Platform: Access course content on any device through our Learning Management System (LMS).
- Flexible Schedule: Enjoy a schedule that accommodates your personal and professional commitments.
- Job Assistance: Benefit from comprehensive support, including resume preparation and mock interviews to help you secure a position in the industry.
Outcomes
By the end of this course, participants will be equipped with:
- Proficiency in SQL Server Integration Services: Participants will gain a comprehensive understanding of SSIS and its role in the ETL process, enabling them to build robust data integration solutions.
- Set Up and Configure SSIS: Learners will be able to install and configure SQL Server Data Tools (SSDT) and set up a development environment for creating SSIS packages.
- Creating and Managing ETL Packages: Participants will learn to design, create, and manage SSIS packages that effectively extract, transform, and load data.
- Data Flow and Transformations: Attendees will acquire skills in creating data flow tasks and implementing various transformations to cleanse and prepare data for analysis.
- Control Flow Operations: Participants will understand how to implement control flow operations, manage tasks, and set precedence constraints within SSIS packages.
- Working with Diverse Data Sources: Learners will successfully connect to and work with various data sources and destinations, including flat files and databases within their ETL processes.
- Error Handling and Debugging: Participants will gain proficiency in implementing error handling in SSIS packages, utilizing logging and event handling techniques to troubleshoot and optimize performance.
- Performance Optimization Techniques: Attendees will understand best practices for performance tuning and optimization of SSIS packages to enhance data processing speed and efficiency.
- Implementing Advanced Features: Participants will explore advanced SSIS features, including the use of expressions, variables, and scripting to extend functionality and customize data workflows.
- Real-World Application Skills: Through hands-on projects, participants will apply concepts learned to real-world ETL scenarios, reinforcing their understanding of how to manage data effectively.
- Preparation for Advanced Roles: Equip participants with essential skills needed for more advanced roles in data engineering and analytics, with a focus on utilizing SSIS in professional environments.
Key Learnings
- Grasp the significance of ETL (Extract, Transform, Load) processes and how they fit into data integration and data warehousing.
- Acquire a deep understanding of SSIS functionalities, features, and the role it plays in data management.
- Learn how to install and configure SQL Server Data Tools (SSDT) and set up the SSIS development environment for efficient data integration tasks.
- Develop skills in creating and managing data flow tasks to efficiently move and transform data across various sources.
- Master various data transformations using SSIS, such as data cleansing, aggregating, and merging.
- Learn how to connect to and import data from various sources, such as flat files, SQL Server databases, and cloud services.
- Understand how to create complex workflows by using control flow tasks and precedence constraints to manage the execution order of your data processing tasks.
- Gain expertise in implementing error handling in SSIS packages, utilizing logging and event handling to troubleshoot issues effectively.
- Learn best practices for optimizing ETL processes in SSIS, including using indexes, partitioning, and efficient data loading techniques.
- Develop the ability to create views in SQL Server to simplify complex queries and enhance data security.
- Understand how to use SQL Server stored procedures and triggers within your ETL processes to automate workflows and enforce business rules.
- Prepare for working collaboratively on data projects, understanding how to share and deploy SSIS packages effectively in a team environment.
- Engage in hands-on projects that simulate real-world data scenarios, reinforcing learning and providing practical experience.
Pre-requisites
- A foundational understanding of SQL (Structured Query Language) is essential. Participants should be comfortable with basic SQL commands such as SELECT, INSERT, UPDATE, and DELETE.
- Experience with Microsoft Excel, including knowledge of basic functions
Job roles and career paths
This training will equip you for the following job roles and career paths:
- Data Engineer
- ETL Developer
- BI Developer
- Data Integration Developer
- Data Warehouse Architect
Curriculum
- 10 Sections
- 29 Lessons
- 32 Hours
Expand all sectionsCollapse all sections
- Module 1: InstallationExercise: Install and configure SQL Server and SSDT, and set up a development environment for SSIS.3
- Module 2: Extract, Transform, and Load BasicsExercise: Discuss a basic ETL scenario and outline the steps involved in extracting, transforming, and loading data.3
- Module 3: Data Flow TransformationsExercise: Create a data flow task that includes multiple transformations on a sample dataset.3
- Module 4: Control Flow ActivitiesExercise: Design a control flow sequence that includes various tasks and precedence constraints3
- Module 5: Create SSIS PackagesExercise: Build and deploy an SSIS package for a simple ETL process.3
- Module 6: Work with Different Data Sources and Data DestinationsExercise: Create an SSIS package that extracts data from a SQL Server database and loads it into a flat file.3
- Module 7: Event HandlingExercise: Implement event handling in an SSIS package to manage potential errors and log events during execution.3
- Module 8: Debugging and Troubleshooting PackagesExercise: Apply debugging techniques to identify and resolve issues in a provided SSIS package.3
- Module 9: Performance Tuning and OptimizationExercise: Optimize a poorly performing SSIS package and measure improvements.3
- Module 10: Final Project and Course ReviewExercise: Complete the final project in which participants will build an ETL solution from start to finish, showcasing skills learned throughout the course.2
ETL stands for Extract, Transform, Load. It is a data integration process that involves three key steps: Extract: extract data from various source systems, Transform: Once the data is extracted, it undergoes a series of transformations to clean and prepare it for analysis.
Load: After the data is transformed, it is loaded into a target system or database
ETL processes are crucial in data warehousing and analytics as they ensure that the right data is available in the right format for timely business decision-making.
The training includes installation, ETL essentials, data flow transformations, control flow activities, SSIS packages, working with various data sources and destinations, and event handling.
The course is designed to be completed in approximately 32 hours, which includes 16 hours of instructor-led training and 16 hours of student practice.
This course is targeted at ETL developers, data analysts, data engineers, business intelligence professionals, and IT specialists interested in learning ETL processes with SQL Server Integration Services.
While prior experience with SQL Server or SSIS is beneficial, it is not required. However, a basic understanding of SQL and database management concepts will help participants grasp the material more easily.
Yes, participants will receive a certificate of completion that demonstrates their proficiency in using SSIS for ETL processes.
Instructor will assist participants in installing Microsoft SQL Server and SQL Server Data Tools (SSDT) on their computers for hands-on practice.
Absolutely! The course includes numerous hands-on exercises and real-world projects designed to reinforce learning and provide practical experience.
It is recommended that participants familiarize themselves with basic SQL concepts and database management.
Yes, participants will have access to course materials and resources for continued learning after the course is completed.
Participants will have access to instructor support throughout the course, along with resources to facilitate learning, including assignments, and exercises.
To enroll in this course, please email us at enroll@ohiocomputeracademy.com.
Yes, discounts may be available for group registrations. Please contact us at enroll@ohiocomputeracademy.com for more details on group pricing options.
$1,099
Course Summary
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Highlights
- Instructor-led training
- One-on-One
- Free access to future sessions (subject to schedule & availability)
- Job Assistance
- Interview preparation
- Online access provided through the LMS
Pricing
$1,099
Group Training (minimum 5 candidates):
$659
Individual Coaching:
$1,099
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- Enterprise Grade Reporting
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