Hello Databricks Community!
We're conducting a quick poll to gather insights on your experience with Delta tables in Databricks.
Your input will help us tailor our content and discussions to serve the community's needs better.
Please take a moment to answer the following question:
📊 Poll: Which aspect of Delta Lake tables in Databricks do you find most challenging or would like to learn more about?
- Understanding the core concepts and architecture of Delta Lake
- Data ingestion and conversion to Delta format
- Schema management and schema evolution
- Optimizing query performance and table management
- Implementing data versioning and time travel
- Data consistency, ACID transactions, and concurrency control
- Integrating Delta Lake tables with external systems and data sources
- Other (please specify)
To participate in the poll, simply reply with the number corresponding to your choice. If you have any additional thoughts or specific topics you'd like us to cover in the upcoming Community Social, please share them in your response.
Thank you for your valuable input!