Databricks has a free version (called Community Edition) and a paid version. What are the main differences between them, and what things can’t I do in the free version that I can do in the paid one?
Developing ETL pipelines in Databricks comes with challenges like managing diverse data sources, optimizing Spark performance, and controlling cloud costs. Ensuring data quality, handling errors, and maintaining security and compliance add complexity...
Leveraging Databricks Marketplace and API integrations can significantly streamline app development. By using pre-built datasets, notebooks, and APIs, developers can accelerate data workflows, reduce redundant coding, and ensure seamless integration ...
Developing and debugging Spark jobs in Databricks can be challenging due to the distributed nature of Spark and the volume of data processed. To streamline your workflow:Leverage Notebooks for Iterative Development:Use Databricks notebooks to write a...
