Showing 4 open source projects for "lake"

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    XiaoMi Pro Hackintosh

    XiaoMi Pro Hackintosh

    XiaoMi NoteBook Pro Hackintosh

    XiaoMi NoteBook Pro Hackintosh. If you are using XiaoMi-Pro with 8th Gen CPU, then it's a KBL (Kaby Lake) machine. (Actually Kaby Lake Refresh) If you are using XiaoMi-Pro with 10th Gen CPU, then it's a CML (Comet Lake) machine.
    Downloads: 0 This Week
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  • 2
    SeaweedFS

    SeaweedFS

    Distributed storage system for blobs, objects, files, and data lake

    SeaweedFS is a distributed storage system for blobs, objects, files, and data lake, to store and serve billions of files fast! Blob store has O(1) disk seek, local tiering, cloud tiering. Filer supports cross-cluster active-active replication, Kubernetes, POSIX, S3 API, encryption, Erasure Coding for warm storage, FUSE mount, Hadoop, WebDAV. SeaweedFS is an independent Apache-licensed open source project with its ongoing development made possible because of the community.
    Downloads: 3 This Week
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  • 3
    lakeFS

    lakeFS

    lakeFS - Git-like capabilities for your object storage

    ...It enables zero-copy Dev / Test isolated environments, continuous quality validation, atomic rollback on bad data, reproducibility, and more. Data is dynamic, it changes over time. Dealing with that without a data version control system is error-prone and labor-intensive. With lakeFS, your data lake is version controlled and you can easily time-travel between consistent snapshots of the lake. Easier ETL testing - test your ETLs on top of production data, in isolation, without copying anything. Safely experiment and test on full production data. Easily Collaborate on production data with your team. Automate data quality checks within data pipelines.
    Downloads: 2 This Week
    Last Update:
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  • 4
    LakeSoul

    LakeSoul

    An end-to-end, realtime and cloud native Lakehouse framework

    ...Built on top of Apache Spark and leveraging Apache Arrow and Parquet, LakeSoul provides ACID transactions, schema evolution, and time travel. It is designed for large-scale data lake architectures that require consistency, efficiency, and easy integration with modern data stacks.
    Downloads: 0 This Week
    Last Update:
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