Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
I want to read the last modified datetime of the files in data lake in a databricks script. If I could read it efficiently as a column when reading data from data lake, it would be perfect.
Choosing the Right Tools: Select tools optimized for data lake file formats (e.g., Parquet, ORC) and distributed computing frameworks (e.g., Apache Spark, Apache Flink).
Partitioning and Indexing: Partition data logically and create indexes to minimize data scanning.
Optimizing Queries: Write queries that leverage predicate pushdown, column pruning, and other optimizations provided by the data lake engine.
Parallel Processing: Utilize parallel processing to distribute workload across multiple nodes or cores, improving read performance.
Caching and Materialization: Cache frequently accessed data or precompute aggregates to reduce read times for subsequent queries.
Join a Regional User Group to connect with local Databricks users. Events will be happening in your city, and you wonโt want to miss the chance to attend and share knowledge.
If there isnโt a group near you, start one and help create a community that brings people together.