Data Deserialization

Data deserialization is the process of converting data from a serialized format (like JSON, XML, or binary) back into its original in-memory data structure, such as objects, arrays, or dictionaries. It is the reverse of serialization and is essential for reconstructing data after transmission or storage. This enables applications to work with complex data types across different systems or after persistence.

Also known as: Deserialization, Unmarshalling, Object reconstruction, Data parsing, De-serialization

Why learn Data Deserialization?

Developers should learn data deserialization when building applications that communicate over networks (e.g., APIs, web services) or store data in files/databases, as it allows them to efficiently restore data to usable formats. It is critical in scenarios like receiving JSON responses from REST APIs, loading configuration files, or caching objects, ensuring data integrity and interoperability between components.

Learning Resources

• docs: MDN Web Docs: JSON.parse()
• tutorial: GeeksforGeeks: Serialization and Deserialization in Java
• docs: Microsoft Learn: Deserialize JSON Data
• video: YouTube: Data Serialization and Deserialization Explained
• tutorial: Real Python: Working With JSON Data in Python