Serverless Data Processing Training Course: Automate Data Transforms

Introduction

Optimize your data workflows with our Serverless Data Processing Training Course. This program is designed to equip you with the essential skills to utilize serverless functions for data transformation, enabling you to build scalable, cost-effective, and efficient data processing pipelines. In today's cloud-native world, mastering serverless data processing is crucial for organizations seeking to leverage event-driven architectures and reduce infrastructure overhead. Our serverless data processing training course offers hands-on experience and expert guidance, empowering you to utilize serverless functions for diverse data transformation tasks.

This automate data transforms training delves into the core concepts of serverless computing for data processing, covering topics such as function deployment, event triggering, and data pipeline orchestration. You'll gain expertise in using industry-standard serverless platforms to utilize serverless functions for data transformation, meeting the demands of modern data-driven organizations. Whether you're a data engineer, cloud developer, or data analyst, this Serverless Data Processing course will empower you to design and implement high-performance serverless data solutions.

Target Audience:

• Data Engineers
• Cloud Developers
• Data Analysts
• Backend Developers
• DevOps Engineers
• System Architects
• Anyone needing serverless data processing skills

Course Objectives:

• Understand the fundamentals of serverless data processing.
• Master serverless function deployment and execution.
• Utilize event triggers for data processing automation.
• Implement data transformation logic in serverless functions.
• Design and build scalable serverless data pipelines.
• Optimize serverless functions for performance and cost.
• Troubleshoot and address common issues in serverless data processing.
• Implement data security and access control in serverless environments.
• Integrate serverless functions with various data storage and processing systems.
• Understand how to handle large datasets and data warehousing with serverless.
• Explore advanced serverless data processing features (e.g., orchestration, state management).
• Apply real world use cases for serverless data transformation.
• Leverage serverless platforms for efficient data engineering workflows.

Duration

10 Days

Course content

Module 1: Introduction to Serverless Data Processing

• Fundamentals of serverless data processing.
• Overview of serverless functions, event triggers, and data pipelines.
• Setting up a serverless development environment.
• Introduction to serverless platforms and services.
• Best practices for serverless data processing.

Module 2: Serverless Function Deployment

• Mastering serverless function deployment and execution.
• Utilizing serverless platforms (AWS Lambda, Azure Functions, Google Cloud Functions).
• Implementing function deployment and configuration.
• Designing and building serverless function code.
• Best practices for function deployment.

Module 3: Event Triggers for Data Processing

• Utilizing event triggers for data processing automation.
• Implementing event-driven data pipelines.
• Designing and building event triggers for data transformations.
• Optimizing event triggers for data processing efficiency.
• Best practices for event triggers.

Module 4: Data Transformation Logic

• Implementing data transformation logic in serverless functions.
• Utilizing data transformation libraries and techniques.
• Designing and building data transformation functions.
• Optimizing transformations for data quality.
• Best practices for data transformation.

Module 5: Scalable Serverless Data Pipelines

• Designing and building scalable serverless data pipelines.
• Utilizing serverless orchestration tools.
• Implementing data pipeline workflows.
• Optimizing pipelines for large-scale data processing.
• Best practices for data pipelines.

Module 6: Performance and Cost Optimization

• Optimizing serverless functions for performance and cost.
• Utilizing function performance tuning techniques.
• Implementing cost optimization strategies.
• Designing efficient serverless architectures.
• Best practices for optimization.

Module 7: Troubleshooting Serverless Data Processing

• Debugging common issues in serverless data processing.
• Analyzing function logs and error messages.
• Utilizing troubleshooting techniques for problem resolution.
• Resolving common data processing errors.
• Best practices for troubleshooting.

Module 8: Data Security and Access Control

• Implementing data security and access control in serverless environments.
• Utilizing IAM roles and policies.
• Designing and building secure serverless functions.
• Optimizing security for data protection.
• Best practices for security.

Module 9: Integration with Data Systems

• Integrating serverless functions with various data storage and processing systems.
• Utilizing APIs and database connectors.
• Implementing data integration with external data sources.
• Optimizing integration for data retrieval and processing.
• Best practices for integration.

Module 10: Large Datasets and Data Warehousing

• Understanding how to handle large datasets and data warehousing with serverless.
• Utilizing serverless data warehousing services.
• Implementing data partitioning and parallel processing.
• Designing scalable serverless data warehousing solutions.
• Best practices for large datasets.

Module 11: Advanced Serverless Features

• Exploring advanced serverless data processing features (orchestration, state management).
• Utilizing serverless orchestration tools for complex workflows.
• Implementing state management for serverless applications.
• Designing and building advanced serverless solutions.
• Optimizing advanced techniques for specific applications.
• Best practices for advanced features.

Module 12: Real-World Use Cases

• Implementing serverless data processing for real-time data streaming.
• Utilizing serverless functions for data transformation and enrichment.
• Implementing serverless data pipelines for log processing.
• Utilizing serverless functions for data analytics and reporting.
• Best practices for real-world applications.

Module 13: Serverless Tools Implementation

• Utilizing serverless tools and frameworks (Serverless Framework, AWS SAM).
• Implementing serverless functions with specific tools.
• Designing and building automated deployment workflows.
• Optimizing tool usage for efficient development.
• Best practices for tool implementation.

Module 14: Performance Monitoring and Logging

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

Module 15: Future Trends in Serverless Data Processing

• Emerging trends in serverless data processing.
• Utilizing AI for serverless data automation.
• Implementing serverless data mesh architectures.
• 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.