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Apache Avro™ is the leading serialization format for record data, and first choice for streaming data pipelines. It offers excellent schema evolution, and has implementations for the JVM (Java, Kotlin, Scala, …), Python, C/C++/C#, PHP, Ruby, Rust, JavaScript, and even Perl.
Avro is a row-oriented remote procedure call and data serialization framework developed within Apache's Hadoop project. It uses JSON for defining data types and protocols, and serializes data in a compact binary format.
May 11, 2024 · Apache Avro is one of those data serialization systems. Avro is a language independent, schema-based data serialization library. It uses a schema to perform serialization and deserialization. Moreover, Avro uses a JSON format to specify the data structure which makes it more powerful.
Introduction. Apache Avro™ is a data serialization system. Avro provides: Rich data structures. A compact, fast, binary data format. A container file, to store persistent data. Remote procedure call (RPC). Simple integration with dynamic languages.
Avro is an open source project that provides data serialization and data exchange services for Apache Hadoop. These services can be used together or independently. Avro facilitates the exchange of big data between programs written in any language.
Apache Avro is a data serialization system. Contribute to apache/avro development by creating an account on GitHub.
This is a short guide for getting started with Apache Avro™ using Python. This guide only covers using Avro for data serialization; see Patrick Hunt’s Avro RPC Quick Start for a good introduction to using Avro for RPC. Notice for Python 3 users.
