6. Big Data File Formats Explained | CSV, JSON, Parquet, ORC, Avro for Data Engineers

"In this video, we explore the key Big Data file formats that every Data Engineer must understand, especially for interviews in India. We break down the most commonly used formats including CSV, JSON, Parquet, ORC, and Avro — explaining what they are, their real-world use cases, and when to use each one based on data engineering requirements.

🎯 Key Takeaways:

CSV: Simple format, best for small datasets, and human-readable data sharing.

JSON: Ideal for web APIs and real-time data exchange, commonly used for transferring data between servers and clients.

Parquet: A columnar format optimized for analytics, providing high compression and performance on large datasets.

ORC: Another columnar format, particularly useful in the Hadoop ecosystem, providing high compression and fast query performance.

Avro: Best for real-time streaming and systems requiring schema evolution, such as IoT data.


This video is perfect for those preparing for Data Engineer interviews in India, as it provides a comprehensive understanding of these file formats, their applications, and their role in large-scale data processing.
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