Learners will identify Avro’s role in data engineering, apply schema-based serialization techniques, construct Avro records, and implement complete serialization–deserialization pipelines using both command-line tools and generated code.

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Ce que vous apprendrez
Explain Apache Avro concepts and apply schema-based serialization and deserialization techniques.
Create Avro schemas and records, and build end-to-end serialization pipelines using tools and code.
Implement and troubleshoot Avro workflows for real-world data engineering and distributed systems.
Compétences que vous acquerrez
- Catégorie : Apache Kafka
- Catégorie : Apache Hadoop
- Catégorie : JSON
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janvier 2026
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Il y a 2 modules dans ce cours
This module introduces the foundational concepts of Apache Avro, focusing on its role in modern data engineering for efficient schema-based serialization and deserialization. Learners explore the essentials of downloading Avro tools, defining namespaces, working with schemas, importing GenericRecord structures, and preparing valid sample data for serialization. By the end of the module, learners will understand how Avro schemas define the structure of data and how manual data preparation supports accurate serialization workflows.
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6 vidéos4 devoirs
This module focuses on implementing a complete Avro-based serialization and deserialization pipeline using DatumWriter, Avro tools, schema parsers, file readers, and code-based serialization techniques. Learners practice writing Avro files, transferring and inspecting data through command-line tools, deserializing encoded files using matching schemas, and applying generated classes for type-safe serialization. By the end of the module, learners will be able to build, test, and optimize a full Avro data flow from encoding to retrieval.
Inclus
5 vidéos3 devoirs
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