Azure Data Lake Design and Implementation Patterns

[@kandalareddy]

This is an excellent overview of all facets of azure data lake. Appreciate your thoughts and guidelines.

[@davidntumba2447]

Patterns from 48:00 to 53:00 1. Data: File Naming 2. Data: Patitioning 3. File Format: Splitability 4. File Format: Compression 5. File Format: Columnar Formats

[@djibrildione4612]

Great and informative presentation. Where can I have access to the slides?

[@terryliu3635]

Great session! Thanks for sharing. Quick question...if we want to expose the data models in ADLS through Synapse (Serverless or Spark), is Parquet the recommended format for the analytics use cases?

[@aks541]

Just a thought - I believe as Purview is providing data discovery or data catalogue, Azure Data Catalogue is not much in use

[@fredidi4918]

40:25 data lake zones

[@billmanassas7746]

If I see another technical session starting with "Data is the new oil/currency"... Get to the point fast.

[@danyalchammas]

Playback speed 2x 😀