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Some of these solutions include: Distributed computing: Distributed computing systems, such as Hadoop and Spark, can help distribute the processing of data across multiple nodes in a cluster. This approach allows for faster and more efficient processing of large volumes of data.
It sits between the data lake and cloud object storage, allowing you to version and control changes to data lakes at scale. LakeFS facilitates data reproducibility, collaboration, and datagovernance within the data lake environment. Share features across the organization.
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