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.
Master Apache Avro: Build & Apply Serialization Pipelines
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Beginner level
Recommended experience
5 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
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.
Skills you'll gain
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Recently updated!
January 2026
Assessments
7 assignments
Taught in English
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There are 2 modules in this course
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.
What's included
6 videos4 assignments
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.
What's included
5 videos3 assignments
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