- Introduction to SnapLogic: An overview of the SnapLogic platform, its capabilities, and how it enables data integration and automation.
- SnapLogic Architecture: Understanding the architecture of SnapLogic, including the concept of snaps (pre-built connectors for different applications and data sources) and pipelines.
- Building Pipelines: Learning how to create data integration pipelines using the visual interface, including using snaps, transformations, and data processing components.
- Data Mapping and Transformation: Techniques for mapping data fields between different systems and applying transformations to ensure data consistency and quality.
- Snap Packs: Exploring different Snap Packs available in SnapLogic to connect with popular applications, databases, cloud services, and more.
- Error Handling and Monitoring: Understanding how to handle errors and exceptions in data pipelines and monitor pipeline performance.
- Data Security and Governance: Best practices for ensuring data security and compliance with data governance policies during data integration.
- Advanced Topics: More advanced concepts and features in SnapLogic, such as API integration, managing complex data workflows, and integrating with Big Data technologies.
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