L11: System Evolution & Data Encoding – Relational vs. Schema-less, Serialization Format
Welcome back to my System Design Series! In this video, we not only explore how modern systems evolve to adapt to new features and user expectations but also take a deep dive into the world of data encoding and serialization—a critical component for seamless communication between different systems.
📌 Time Stamps:
00:00 – 00:09: Introduction to system evolution and data encoding basics
00:09 – 00:10: How in-memory data is serialized and deserialized (Python example)
00:10 – 00:12: Drawbacks of language-specific encoding formats (compatibility, security, and versioning challenges)
00:12 – 00:13: Efficiency issues and performance bottlenecks with traditional methods
00:13 – 00:16: Deep dive into popular alternatives:
JSON vs. XML vs. Binary formats (Protobuf, Avro, Thrift)
Pros and cons of each method
00:16 – 00:17: Introduction to CSV for tabular data and its limitations
00:17 – 00:21: Real-world considerations, challenges with JSON (numeric precision, file size, schema validation), XML verbosity, and CSV pitfalls
00:21 – End: Final thoughts, summary, and call to action
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#SystemDesign #DataEncoding #Serialization #JSON #XML #Protobuf #CSV #SoftwareEvolution #TechTalk #aarchigandhi
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