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Transform Formats

Transform data between JSON, Avro, Parquet, and Protobuf formats to optimize for bandwidth, storage, and processing.

The Problem​

Data pipelines need multiple formats for different purposes:

  • JSON sensor readings need compact Avro for Kafka streaming
  • Avro needs efficient Parquet for cloud analytics
  • Microservices require type-safe Protobuf
  • Each format requires specialized serialization

The Solution​

Learn 4 format transformation techniques:

  1. JSON to Avro - Binary serialization with schema registry integration for 60% bandwidth reduction
  2. Avro to Parquet - Row-to-column format conversion with compression for 90% storage reduction
  3. JSON to Protobuf - Schema-based binary serialization for type-safe microservice communication
  4. Multi-Format Auto-Detection - Content-Type analysis with conditional processing for mixed sources

Get Started​

Choose your path:

Interactive Explorer​

See format transformations with live before/after examples

Step-by-Step Tutorial​

Build the pipeline incrementally:

  1. JSON to Avro
  2. Avro to Parquet
  3. JSON to Protobuf
  4. Multi-Format Detection

Complete Pipeline​

Download the production-ready solution