Etl/elt Pipeline Development Training Course: Data Integration Pipelines

Introduction

Streamline your data workflows with our ETL/ELT Pipeline Development Training Course. This program is designed to equip you with the essential skills to build and maintain data integration pipelines, enabling you to efficiently extract, transform, and load data for analytics and business intelligence. In today's data-driven world, mastering ETL/ELT pipeline development is crucial for ensuring data accuracy and accessibility. Our ETL/ELT pipeline training course offers hands-on experience and expert guidance, empowering you to create robust and scalable data integration solutions.

This data integration pipelines training delves into the core concepts of ETL/ELT, covering topics such as data extraction, transformation logic, and data loading strategies. You'll gain expertise in using industry-standard tools and techniques to build and maintain data integration pipelines, meeting the demands of modern data-driven organizations. Whether you're a data engineer, data architect, or business intelligence developer, this ETL/ELT Pipeline Development course will empower you to design and implement efficient data integration workflows.

Target Audience:

• Data Engineers
• Data Architects
• Business Intelligence Developers
• ETL Developers
• Data Analysts
• Database Administrators
• Anyone needing ETL/ELT pipeline development skills

Course Objectives:

• Understand the fundamentals of ETL/ELT pipeline development.
• Master data extraction techniques from various data sources.
• Utilize data transformation logic for data cleansing and enrichment.
• Implement data loading strategies for data warehousing and data lakes.
• Design and build efficient ETL/ELT pipelines for data integration.
• Optimize data pipelines for performance, scalability, and maintainability.
• Troubleshoot and address common challenges in ETL/ELT pipelines.
• Implement data quality checks and validation in ETL/ELT processes.
• Integrate ETL/ELT pipelines with real-world analytics platforms.
• Understand how to handle data security and compliance in data integration.
• Explore advanced ETL/ELT techniques (e.g., change data capture, real-time data integration).
• Apply real world use cases for ETL/ELT pipeline development.
• Leverage ETL/ELT tools and frameworks for efficient pipeline development.

Duration

10 Days

Course content

Module 1: Introduction to ETL/ELT Pipeline Development

• Fundamentals of ETL/ELT pipeline development.
• Overview of data extraction, transformation, and loading processes.
• Setting up an ETL/ELT development environment.
• Introduction to ETL/ELT tools and frameworks.
• Best practices for ETL/ELT pipelines.

Module 2: Data Extraction Techniques

• Mastering data extraction techniques from various data sources.
• Utilizing database connectors, APIs, and file formats.
• Designing and building data extraction scripts.
• Optimizing extraction for performance and data integrity.
• Best practices for data extraction.

Module 3: Data Transformation Logic

• Utilizing data transformation logic for data cleansing and enrichment.
• Implementing data cleansing, normalization, and aggregation.
• Designing and building data transformation workflows.
• Optimizing transformations for data quality.
• Best practices for data transformation.

Module 4: Data Loading Strategies

• Implementing data loading strategies for data warehousing and data lakes.
• Utilizing batch loading, incremental loading, and real-time loading.
• Designing and building data loading scripts.
• Optimizing loading for data integrity and performance.
• Best practices for data loading.

Module 5: Efficient ETL/ELT Pipeline Design

• Designing and building efficient ETL/ELT pipelines for data integration.
• Implementing data pipeline orchestration and scheduling.
• Utilizing modular and reusable pipeline components.
• Optimizing pipelines for specific data integration tasks.
• Best practices for pipeline design.

Module 6: Pipeline Optimization

• Optimizing data pipelines for performance, scalability, and maintainability.
• Utilizing performance tuning and monitoring tools.
• Implementing data partitioning and caching strategies.
• Designing scalable pipeline architectures.
• Best practices for pipeline optimization.

Module 7: Troubleshooting Pipeline Challenges

• Debugging common challenges in ETL/ELT pipelines.
• Analyzing pipeline performance and errors.
• Utilizing troubleshooting techniques for problem resolution.
• Resolving common data integration issues.
• Best practices for troubleshooting.

Module 8: Data Quality Checks and Validation

• Implementing data quality checks and validation in ETL/ELT processes.
• Utilizing data validation libraries and techniques.
• Designing and building data quality monitoring systems.
• Optimizing validation for data integrity.
• Best practices for data quality.

Module 9: Integration with Analytics Platforms

• Integrating ETL/ELT pipelines with real-world analytics platforms.
• Utilizing BI tools and data visualization platforms.
• Implementing data access and security measures.
• Optimizing integration for data-driven insights.
• Best practices for integration.

Module 10: Data Security and Compliance

• Understanding how to handle data security and compliance in data integration.
• Utilizing data encryption and access control.
• Designing and building compliant data pipelines.
• Optimizing data handling for regulatory requirements.
• Best practices for security.

Module 11: Advanced ETL/ELT Techniques

• Exploring advanced ETL/ELT techniques (change data capture, real-time data integration).
• Utilizing change data capture (CDC) for incremental updates.
• Implementing real-time data integration with streaming platforms.
• Designing and building advanced data integration solutions.
• Optimizing advanced techniques for specific applications.
• Best practices for advanced techniques.

Module 12: Real-World Use Cases

• Implementing ETL/ELT for data warehousing and business intelligence.
• Utilizing ETL/ELT for data migration and integration.
• Implementing ETL/ELT for real-time data analytics.
• Utilizing ETL/ELT for customer data platforms.
• Best practices for real-world applications.

Module 13: ETL/ELT Tools and Frameworks Implementation

• Utilizing ETL/ELT tools and frameworks (Apache Airflow, Talend, Informatica).
• Implementing data pipelines with specific tools.
• Designing and building automated data workflows.
• Optimizing tool usage for efficient development.
• Best practices for tool implementation.

Module 14: Pipeline Performance Monitoring

• Implementing pipeline performance monitoring.
• Utilizing logging and monitoring tools.
• Designing and building performance dashboards.
• Optimizing monitoring for real-time insights.
• Best practices for monitoring.

Module 15: Future Trends in ETL/ELT Development

• Emerging trends in ETL/ELT development.
• Utilizing AI for data pipeline automation.
• Implementing ETL/ELT in cloud-native environments.
• Best practices for future applications.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.