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Community Discussions
Connect with fellow community members to discuss general topics related to the Databricks platform, industry trends, and best practices. Share experiences, ask questions, and foster collaboration within the community.
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Delta Table : Quick Poll

Kaniz_Fatma
Community Manager
Community Manager

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:

๐Ÿ“Š Poll: Which aspect of Delta Lake tables in Databricks do you find most challenging or would like to learn more about?

  1. Understanding the core concepts and architecture of Delta Lake
  2. Data ingestion and conversion to Delta format
  3. Schema management and schema evolution
  4. Optimizing query performance and table management
  5. Implementing data versioning and time travel
  6. Data consistency, ACID transactions, and concurrency control
  7. Integrating Delta Lake tables with external systems and data sources
  8. 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!

3 REPLIES 3

Chaitanya_Raju
Honored Contributor

Hi @Kaniz Fatmaโ€‹ ,

It is a great initiative to take the inputs from the community members and tailor the content accordingly which will be definitely helpful for the entire community out there.

I will like to learn more about 3,4 points from the above-mentioned points.

Happy Learning!!

Ajay-Pandey
Esteemed Contributor III

Hi @Kaniz Fatmaโ€‹ ,

4.Optimizing query performance and table management

pvignesh92
Honored Contributor

Hi @Kaniz Fatmaโ€‹ . 6. Data consistency, ACID transactions, and concurrency control

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