Sponsored by: Fivetran | Scalable Data Ingestion: Building custom pipelines with the Fivetran Connector SDK and Databricks

Organizations have hundreds of data sources, some of which are very niche or difficult to access. Incorporating this data into your lakehouse requires significant time and resources, hindering your ability to work on more value-add projects. Enter the Fivetran Connector SDK- a powerful new tool that enables your team to create custom pipelines for niche systems, custom APIs, and sources with specific data filtering requirements, seamlessly integrating with Databricks. During this session, Fivetran will demonstrate how to (1) Leverage the Connector SDK to build scalable connectors, enabling the ingestion of diverse data into Databricks (2) Gain flexibility and control over historical and incremental syncs, delete capture, state management, multithreading data extraction, and custom schemas (3) Utilize practical examples, code snippets, and architectural considerations to overcome data integration challenges and unlock the full potential of your Databricks environment.