This article provides a comprehensive guide to using Python's json module for serializing Python objects to JSON format and deserializing JSON data back to Python objects, covering key methods, options, and best practices.
This article explains Java's built‑in serialization drawbacks, introduces the open‑source ChronicleWire library as a high‑performance alternative supporting multiple data formats, and provides step‑by‑step code examples for encoding, decoding, and compatibility handling in real‑world Java applications.
This article provides a comprehensive overview of big data, covering its origins, definitions, 5V characteristics, data formats, real‑world applications, Hadoop architecture, testing challenges, functional and performance testing strategies, and the skills required for effective big data testing.
This article introduces Google’s Protocol Buffers, explains its compilation process, walks through a complete Java example, and compares its encoding speed, data size, and memory usage against JSON, showing that ProtoBuf becomes significantly faster and more compact as the number of operations increases.
Apache Parquet is a language‑agnostic, columnar storage format for the Hadoop ecosystem that offers high compression, efficient I/O through column and predicate push‑down, nested‑structure support, and a three‑layer architecture, and is compared with ORC while providing tooling for schema inspection.
