Talend API Services: Designing and Deploying Data APIs

Duration: Hours

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    Training Mode: Online

    Description

    Introduction:

    APIs (Application Programming Interfaces) are crucial for enabling seamless data integration and interaction between various systems and applications. This course is designed for developers, data engineers, and IT professionals who want to master the design and deployment of data APIs using Talend. Participants will learn how to create robust, scalable, and secure data APIs to facilitate data exchange and integration across platforms. The course covers the entire lifecycle of API development, from designing and building APIs to deploying and managing them using Talend API Services. By the end of this course, participants will be proficient in using Talend to design and deploy data APIs that meet the needs of modern data-driven applications.

    Prerequisites:

    • Completion of Talend Fundamentals: Getting Started with Data Integration or equivalent experience with Talend.
    • Basic understanding of API concepts and RESTful web services.
    • Experience with data integration and ETL processes.
    • Familiarity with web development and HTTP protocols.

    Table of Content:

    1. Introduction to Data APIs and Talend API Services
      1. Overview of APIs and their role in data integration
      2. Key concepts: RESTful APIs, SOAP APIs, and API endpoints
      3. Introduction to Talendā€™s API services and capabilities
      4. Benefits of using Talend for API development and deployment
    2. Designing Data APIs with Talend
      1. Understanding API design principles and best practices
      2. Designing RESTful APIs using Talend API Designer
      3. Defining API endpoints, methods, and request/response formats
      4. Documenting APIs using Swagger/OpenAPI specifications
    3. Building APIs with Talend Studio
      1. Using Talend Studio to create and configure data APIs
      2. Implementing API logic and data transformations with Talend components (e.g., tRESTClient, tRESTInput)
      3. Connecting APIs to data sources and databases
      4. Handling authentication and authorization for APIs
    4. Testing and Debugging APIs
      1. Techniques for testing APIs during development(Ref: Selenium, Python and REST API)
      2. Using Talendā€™s testing tools and features for API validation
      3. Debugging common API issues and troubleshooting
      4. Ensuring API performance and reliability through testing
    5. Deploying Data APIs
      1. Deploying APIs to Talend Cloud or on-premises environments
      2. Configuring API endpoints and managing deployment settings
      3. Handling versioning and updates for APIs
      4. Monitoring and managing deployed APIs using Talend Administration Center
    6. Securing Data APIs
      1. Implementing security measures for APIs (e.g., SSL/TLS, OAuth2)
      2. Configuring access controls and permissions
      3. Securing sensitive data transmitted through APIs
      4. Using Talendā€™s security features to protect API endpoints
    7. Managing and Monitoring APIs
      1. Setting up API monitoring and logging
      2. Analyzing API usage and performance metrics
      3. Implementing alerts and notifications for API issues
      4. Managing API lifecycle and deprecation
    8. Integrating APIs with Other Systems
      1. Connecting APIs to third-party services and applications
      2. Using Talend for API-based integration scenarios
      3. Implementing API orchestration and data flows
      4. Handling API errors and retries in integration workflows
    9. Case Studies and Practical Applications
      1. Reviewing case studies of successful API implementations
      2. Analyzing challenges and solutions in API development and deployment
      3. Best practices and lessons learned from industry experts
      4. Exploring innovative use cases for data APIs
    10. Final Project: Designing and Deploying a Data API
      1. Designing, building, and deploying a comprehensive data API using Talend
      2. Implementing API endpoints, data transformations, and security measures
      3. Testing and monitoring the API for performance and reliability
      4. Presenting and evaluating project outcomes and solutions
    11. Conclusion and Next Steps
      1. Recap of key concepts and techniques covered in the course
      2. Additional resources for continued learning and certification
      3. Career development opportunities in API development and management
      4. Staying updated with Talend features and industry trends

    Reference

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