1. Introduction to Talend: Gain a solid understanding of the Talend platform, its features, and its role in data integration and ETL processes.

2. Talend Installation and Configuration: Learn how to download, install, and configure Talend software on your machine, ensuring a smooth setup process.

3. Building Talend Jobs: Master the creation of Talend jobs by exploring various components, connectors, and transformations available in Talend.

4. Data Extraction: Explore techniques for extracting data from diverse sources relevant to urban applications, including databases, APIs, flat files, and web services.

5. Data Transformation and Cleansing: Dive into the transformation capabilities of Talend, including data cleansing, filtering, enrichment, and standardization, ensuring data quality for urban analysis.

6. Data Loading and Integration: Learn how to load transformed data into target destinations such as databases, data warehouses, or other systems, ensuring seamless data integration.

7. Handling Complex Data Structures: Discover methods to handle complex data structures commonly found in urban data, such as nested JSON or XML, and efficiently process them in Talend.

8. Error Handling and Logging: Understand how to implement error handling mechanisms and logging strategies in Talend to ensure data integrity and troubleshoot issues effectively.

9. Advanced Talend Features: Explore advanced features of Talend, including job orchestration, parallel processing, parameterization, and scheduling to optimize ETL workflows for urban data.

10. Performance Optimization: Learn best practices and techniques to optimize Talend jobs for enhanced performance, including parallel execution, partitioning, and data caching.

11. Real-World Urban Use Cases: Apply your Talend skills to real-world urban data integration scenarios, working on practical case studies that simulate urban data challenges and solutions.

12. Integration with Urban Analytics Tools: Discover how to integrate Talend with popular urban analytics tools, such as Tableau or R, to perform advanced analysis and visualization on integrated data.

13. Best Practices and Governance: Understand industry best practices for Talend development, versioning, documentation, and governance to ensure scalability and maintainability in urban data projects.

Course Duration: The course is designed to be completed over a period of 8-10 weeks, with approximately 4-6 hours of study per week. However, the duration can be adjusted based on your learning pace and schedule.

Prerequisites:

• Basic understanding of data integration concepts and ETL processes.
• Familiarity with databases and SQL is beneficial but not mandatory.
• No prior experience with Talend is required.

Target Audience:

• Data professionals and analysts involved in urban data integration and ETL processes.
• IT professionals responsible for managing urban data systems and workflows.
• Urban planners and researchers working with large-scale urban datasets.
• Data enthusiasts looking to expand their skills in data integration for urban applications.