Description
As our teams and programs grow, the variety and volume of data also grows. Success will turn your
simple data models into complex ones! Whether your application is storing data to disk or
transmitting it over a network, the structure and interpretation of that data should be clear.
Consumers work best with data they understand!
Schemas describe and document data models. If you have data, you should have a schema.
Wire alternatives and related libraries
Based on the "Data structures" category
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Apache Avro
Data interchange format featuring among others: dynamic typing, untagged data, absence of manually assigned IDs. -
Apache Parquet
Columnar storage format based on assembly algorithms from the Dremel paper by Google.
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest. Visit our partner's website for more details.
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