stclarke reports on how Swiggy uses Microsoft Fabric to process streaming data in near real time, enabling new capabilities in convenience delivery for millions of users.

Swiggy’s Real-Time Data Processing with Microsoft Fabric

Swiggy, a leading convenience platform in India, is utilizing Microsoft Fabric to handle billions of data points in near real time. By leveraging Fabric’s capabilities, Swiggy can ingest, analyze, and act on large volumes of operational and user data, supporting innovations in logistics and customer experience.

Key Use Case

Processing Scale: Swiggy deals with billions of data points from transactions, logistics, and user interactions.
Near Real-Time Analytics: Microsoft Fabric enables Swiggy to transform raw data into actionable insights within seconds.
Operational Impact: Improvements in routing, inventory, supply chain management, and delivery efficiency are being unlocked.

Strategic Architecture

Unified Compute Fabric: Swiggy’s use of Microsoft Fabric goes beyond traditional enterprise tools, making real-time intelligence an infrastructure-level capability.
Data-Driven Decisions: Operators and strategists leverage live analytics to improve execution, refine strategies, and support population-scale logistics.

Industry Implications

Sets a precedent for large-scale, cloud-based data processing in India’s tech sector
Demonstrates how digital infrastructure becomes a competitive advantage at enterprise and national levels

References and More Information

Note: Technical implementation specifics are limited in the news post but the role of Microsoft Fabric in scalable, real-time analytics is clearly central to the solution.

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