Summary: This article explores the practical challenges Flipkart encountered while performing data analysis at a petabyte scale. It also outlines the thought process and architectural approach behind…

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Flipkart Tech

Flipkart has transformed its data analytics approach to handle petabyte-scale data by creating an internal platform named Plato. This architecture overcomes challenges related to cost, agility, and accuracy while harnessing GenAI for advanced analytics like automated data analysis and root cause detection. Plato enables self-service BI by simplifying complex data interactions, optimizing query performance, and ensuring data accuracy through a semantic modeling layer.

Transforming Data Analytics at Flipkart: Self Serve Insights on Petabytes scale data

The Data Deluge: Navigating Business and Technical Challenges

The Vision: Self-Service BI at Petabyte Scale data

The Solution: Plato (internal name) — An Analytics Platform for Scale