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Filesystem implementations and connectors that bridge versioned storage with distributed compute engines.
Distinct from Apache Spark Pipelines: Candidates focused on deep learning or pipeline environments, not the Hadoop FileSystem bridge for data versioning.
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lakeFS is a data lake versioning system that provides Git-like branching and commits for large datasets stored in object storage. It functions as a version control layer, enabling the creation of immutable snapshots, atomic commits, and zero-copy branching to create isolated environments for data experimentation without duplicating physical files. The system serves as an S3-compatible storage gateway and an Iceberg REST catalog, allowing standard cloud storage protocols and compatible clients to manage versioned tables. It acts as a data quality gatekeeper by using an event-driven hook system
Integrates data versioning with Spark environments using a custom Hadoop FileSystem implementation.