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FAQ

Q1: Is Delta Lake proprietary?

No, Delta Lake is an open-source project under the Linux Foundation. Databricks developed it, but it's not proprietary.

Q2: Can I edit a DELTA file directly?

No, you should never directly modify the _delta_log JSON files or the underlying Parquet data files. All modifications should be done through the Delta Lake API or Spark SQL to maintain transactional integrity.

Q3: How does DELTA compare to [Julia JLD2 format](https://openanyfile.app/format/julia-jld2)?

The DELTA format is designed for large-scale, transactional data lakes, focusing on ACID properties and distributed processing. The [Julia JLD2 format](https://openanyfile.app/format/julia-jld2) is a HDF5-based format primarily used for storing Julia data structures and is typically for smaller, more localized datasets within scientific computing context. They serve very different purposes.

Q4: Does Delta Lake store data in a compressed format?

Yes, Delta Lake primarily stores its data in Parquet files, which are a columnar, compressed format, ensuring efficient storage and query performance.

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