15 Topics
10 Days
76 Sessions
Programme Overview
Training Description
Who Should Attend
Session 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.
About the Course
This advanced training equips professionals with the knowledge and practical skills to design, build, deploy, and optimize scalable serverless data pipelines. Participants will explore modern cloud-native architectures that process, transform, store, and analyze data without the need to manage traditional server infrastructure.The course focuses on event-driven architectures, serverless compute, data ingestion, orchestration, streaming and batch processing, automated scaling, security, monitoring, cost optimization, and resilient pipeline design. Participants will learn how to architect production-ready data pipelines capable of handling fluctuating workloads while maintaining performance, reliability, and operational efficiency.
Curriculum & Topics
15 Topics | 76 Sessions
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Workshop 1.1:
Fundamentals of serverless data processing.
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Workshop 1.2:
Overview of serverless functions, event triggers, and data pipelines.
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Workshop 1.3:
Setting up a serverless development environment.
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Workshop 1.4:
Introduction to serverless platforms and services.
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Workshop 1.5:
Best practices for serverless data processing.
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Workshop 2.1:
Mastering serverless function deployment and execution.
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Workshop 2.2:
Utilizing serverless platforms (AWS Lambda, Azure Functions, Google Cloud Functions).
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Workshop 2.3:
Implementing function deployment and configuration.
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Workshop 2.4:
Designing and building serverless function code.
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Workshop 2.5:
Best practices for function deployment.
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Workshop 3.1:
Utilizing event triggers for data processing automation.
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Workshop 3.2:
Implementing event-driven data pipelines.
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Workshop 3.3:
Designing and building event triggers for data transformations.
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Workshop 3.4:
Optimizing event triggers for data processing efficiency.
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Workshop 3.5:
Best practices for event triggers.
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Workshop 4.1:
• Implementing data transformation logic in serverless functions.
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Workshop 4.2:
• Utilizing data transformation libraries and techniques.
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Workshop 4.3:
• Utilizing data transformation libraries and techniques.
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Workshop 4.4:
• Designing and building data transformation functions.
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Workshop 4.5:
• Optimizing transformations for data quality.
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Workshop 4.6:
• Best practices for data transformation.
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Workshop 5.1:
Designing and building scalable serverless data pipelines.
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Workshop 5.2:
Utilizing serverless orchestration tools.
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Workshop 5.3:
Implementing data pipeline workflows.
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Workshop 5.4:
Optimizing pipelines for large-scale data processing.
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Workshop 5.5:
Best practices for data pipelines.
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Workshop 6.1:
Optimizing serverless functions for performance and cost.
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Workshop 6.2:
Utilizing function performance tuning techniques.
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Workshop 6.3:
Implementing cost optimization strategies.
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Workshop 6.4:
Designing efficient serverless architectures.
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Workshop 6.5:
Best practices for optimization.
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Workshop 7.1:
Debugging common issues in serverless data processing.
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Workshop 7.2:
Analyzing function logs and error messages.
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Workshop 7.3:
Utilizing troubleshooting techniques for problem resolution.
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Workshop 7.4:
Resolving common data processing errors.
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Workshop 7.5:
Best practices for troubleshooting.
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Workshop 8.1:
Implementing data security and access control in serverless environments.
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Workshop 8.2:
Utilizing IAM roles and policies.
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Workshop 8.3:
Designing and building secure serverless functions.
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Workshop 8.4:
Optimizing security for data protection.
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Workshop 8.5:
Best practices for security.
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Workshop 9.1:
Integrating serverless functions with various data storage and processing systems.
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Workshop 9.2:
Utilizing APIs and database connectors.
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Workshop 9.3:
Implementing data integration with external data sources.
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Workshop 9.4:
Optimizing integration for data retrieval and processing.
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Workshop 9.5:
Best practices for integration.
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Workshop 10.1:
Understanding how to handle large datasets and data warehousing with serverless.
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Workshop 10.2:
Utilizing serverless data warehousing services.
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Workshop 10.3:
Implementing data partitioning and parallel processing.
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Workshop 10.4:
Designing scalable serverless data warehousing solutions.
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Workshop 10.5:
Best practices for large datasets.
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Workshop 11.1:
Exploring advanced serverless data processing features (orchestration, state management).
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Workshop 11.2:
Utilizing serverless orchestration tools for complex workflows.
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Workshop 11.3:
Implementing state management for serverless applications.
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Workshop 11.4:
Designing and building advanced serverless solutions.
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Workshop 11.5:
Optimizing advanced techniques for specific applications.
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Workshop 11.6:
Best practices for advanced features.
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Workshop 12.1:
Implementing serverless data processing for real-time data streaming.
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Workshop 12.2:
Utilizing serverless functions for data transformation and enrichment.
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Workshop 12.3:
Implementing serverless data pipelines for log processing.
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Workshop 12.4:
Utilizing serverless functions for data analytics and reporting.
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Workshop 12.5:
Best practices for real-world applications.
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Workshop 13.1:
Utilizing serverless tools and frameworks (Serverless Framework, AWS SAM).
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Workshop 13.2:
Implementing serverless functions with specific tools.
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Workshop 13.3:
Designing and building automated deployment workflows.
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Workshop 13.4:
Optimizing tool usage for efficient development.
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Workshop 13.5:
Best practices for tool implementation.
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Workshop 14.1:
Implementing performance monitoring and logging for serverless functions.
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Workshop 14.2:
Utilizing cloud monitoring tools and metrics.
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Workshop 14.3:
Designing and building performance dashboards.
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Workshop 14.4:
Optimizing monitoring for real-time insights.
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Workshop 14.5:
Best practices for monitoring.
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Workshop 15.1:
Emerging trends in serverless data processing.
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Workshop 15.2:
Utilizing AI for serverless data automation.
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Workshop 15.3:
Implementing serverless data mesh architectures.
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Workshop 15.4:
Best practices for future applications.
