15 Topics
10 Days
Programme Overview
Training Description
Who Should Attend
This course is ideal for;
- Data Engineers
- Cloud Developers
- Data Analysts
- Backend Developers
- DevOps Engineers
- System Architects
- Anyone needing serverless data processing skills
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
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.
Curriculum & Topics
15 Topics | 10 Days
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Subtopic 1.1:
Fundamentals of serverless data processing.
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Subtopic 1.2:
Overview of serverless functions, event triggers, and data pipelines.
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Subtopic 1.3:
Setting up a serverless development environment.
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Subtopic 1.4:
Introduction to serverless platforms and services.
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Subtopic 1.5:
Best practices for serverless data processing.
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Subtopic 2.1:
Mastering serverless function deployment and execution.
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Subtopic 2.2:
Utilizing serverless platforms (AWS Lambda, Azure Functions, Google Cloud Functions).
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Subtopic 2.3:
Implementing function deployment and configuration.
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Subtopic 2.4:
Designing and building serverless function code.
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Subtopic 2.5:
Best practices for function deployment.
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Subtopic 3.1:
Utilizing event triggers for data processing automation.
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Subtopic 3.2:
Implementing event-driven data pipelines.
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Subtopic 3.3:
Designing and building event triggers for data transformations.
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Subtopic 3.4:
Optimizing event triggers for data processing efficiency.
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Subtopic 3.5:
Best practices for event triggers.
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Subtopic 4.1:
• Implementing data transformation logic in serverless functions.
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Subtopic 4.2:
• Utilizing data transformation libraries and techniques.
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Subtopic 4.3:
• Utilizing data transformation libraries and techniques.
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Subtopic 4.4:
• Designing and building data transformation functions.
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Subtopic 4.5:
• Optimizing transformations for data quality.
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Subtopic 4.6:
• Best practices for data transformation.
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Subtopic 5.1:
Designing and building scalable serverless data pipelines.
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Subtopic 5.2:
Utilizing serverless orchestration tools.
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Subtopic 5.3:
Implementing data pipeline workflows.
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Subtopic 5.4:
Optimizing pipelines for large-scale data processing.
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Subtopic 5.5:
Best practices for data pipelines.
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Subtopic 6.1:
Optimizing serverless functions for performance and cost.
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Subtopic 6.2:
Utilizing function performance tuning techniques.
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Subtopic 6.3:
Implementing cost optimization strategies.
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Subtopic 6.4:
Designing efficient serverless architectures.
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Subtopic 6.5:
Best practices for optimization.
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Subtopic 7.1:
Debugging common issues in serverless data processing.
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Subtopic 7.2:
Analyzing function logs and error messages.
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Subtopic 7.3:
Utilizing troubleshooting techniques for problem resolution.
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Subtopic 7.4:
Resolving common data processing errors.
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Subtopic 7.5:
Best practices for troubleshooting.
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Subtopic 8.1:
Implementing data security and access control in serverless environments.
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Subtopic 8.2:
Utilizing IAM roles and policies.
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Subtopic 8.3:
Designing and building secure serverless functions.
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Subtopic 8.4:
Optimizing security for data protection.
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Subtopic 8.5:
Best practices for security.
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Subtopic 9.1:
Integrating serverless functions with various data storage and processing systems.
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Subtopic 9.2:
Utilizing APIs and database connectors.
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Subtopic 9.3:
Implementing data integration with external data sources.
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Subtopic 9.4:
Optimizing integration for data retrieval and processing.
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Subtopic 9.5:
Best practices for integration.
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Subtopic 10.1:
Understanding how to handle large datasets and data warehousing with serverless.
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Subtopic 10.2:
Utilizing serverless data warehousing services.
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Subtopic 10.3:
Implementing data partitioning and parallel processing.
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Subtopic 10.4:
Designing scalable serverless data warehousing solutions.
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Subtopic 10.5:
Best practices for large datasets.
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Subtopic 11.1:
Exploring advanced serverless data processing features (orchestration, state management).
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Subtopic 11.2:
Utilizing serverless orchestration tools for complex workflows.
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Subtopic 11.3:
Implementing state management for serverless applications.
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Subtopic 11.4:
Designing and building advanced serverless solutions.
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Subtopic 11.5:
Optimizing advanced techniques for specific applications.
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Subtopic 11.6:
Best practices for advanced features.
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Subtopic 12.1:
Implementing serverless data processing for real-time data streaming.
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Subtopic 12.2:
Utilizing serverless functions for data transformation and enrichment.
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Subtopic 12.3:
Implementing serverless data pipelines for log processing.
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Subtopic 12.4:
Utilizing serverless functions for data analytics and reporting.
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Subtopic 12.5:
Best practices for real-world applications.
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Subtopic 13.1:
Utilizing serverless tools and frameworks (Serverless Framework, AWS SAM).
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Subtopic 13.2:
Implementing serverless functions with specific tools.
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Subtopic 13.3:
Designing and building automated deployment workflows.
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Subtopic 13.4:
Optimizing tool usage for efficient development.
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Subtopic 13.5:
Best practices for tool implementation.
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Subtopic 14.1:
Implementing performance monitoring and logging for serverless functions.
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Subtopic 14.2:
Utilizing cloud monitoring tools and metrics.
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Subtopic 14.3:
Designing and building performance dashboards.
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Subtopic 14.4:
Optimizing monitoring for real-time insights.
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Subtopic 14.5:
Best practices for monitoring.
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Subtopic 15.1:
Emerging trends in serverless data processing.
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Subtopic 15.2:
Utilizing AI for serverless data automation.
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Subtopic 15.3:
Implementing serverless data mesh architectures.
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Subtopic 15.4:
Best practices for future applications.
