In today’s data-driven landscape, the demands placed upon data engineers are diverse and multifaceted. With the integration of Java, Python, or Go microservices, Databricks SDKs provide a powerful bridge between the established ecosystems and Databricks. They allow data engineers to unlock new levels of integration and collaboration, as well as integrate Unity Catalog into processes to create advanced workflows straight from notebooks.
In this session, learn best practices for when and how to use SDK, command-line interface, or Terraform integration to seamlessly integrate with Databricks and revolutionize how you integrate with the Databricks Lakehouse. The session covers using shell scripts to automate complex tasks and streamline operations that improve scalability.
Talk by: Serge Smertin
Connect with us: Website: https://databricks.com
Twitter: https://twitter.com/databricks
LinkedIn: https://www.linkedin.com/company/databricks
Instagram: https://www.instagram.com/databricksinc
Facebook: https://www.facebook.com/databricksinc
Add comment