You have data stored in S3 or NFS locations and you want to manipulate it using its metadata: how do you do it? Enter Zenko’s out-of-band update mechanism. Our latest update of Zenko introduces a way to ingest metadata from existing S3 buckets or NFS mount points.
Zenko operates by establishing and maintaining a single namespace of managed data. The out-of-band updates for S3 and NFS allows Zenko to extend its reach over existing data sets. It can read an existing namespace, ingest metadata and assume management of these new sources.
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The new feature does not copy the files themselves. Rather, the bucket’s and NFS mount’s attributes are copied to Zenko as metadata for management. Using this information, Zenko acts as it would for any other Zenko bucket, thus enabling metadata search, cloud replication, and lifecycle transition or expiration.
Imagine you use an application that supports only storing files on NFS mounts, for example a Multimedia Asset Management (MAM) used to handle a catalog of movies. Some of the movies are tagged for “distribution”. Zenko can ingest metadata, discovering the movies with the “distribution” tag. Workflow rules can then be used to copy those objects to remote buckets, maybe with the proper CDN to improve user experience. Check this example workflow based on automatic tagging of objects via machine learning and think of the possibilities that Zenko opens up with NFS and the buckets you already have.
This feature takes a big step forward in fulfilling the vision of Zenko as the universal data manipulator.
More resources to read: how Zenko builds global metadata search across any cloud