Intellectual Property India Publishes Patent Application for 'A Cloud-Native Distributed Data Pipeline System For Scalable Feature Engineering And Real-Time Analytics Using Pyspark And Distributed Sql Processing Engines' Filed by Narendra Mangala

MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043422 A) filed by Narendra Mangala, Tadipatri, Andhra Pradesh, on April 5, for 'a cloud-native distributed data pipeline system for scalable feature engineering and real-time analytics using pyspark and distributed sql processing engines.'

Inventor(s) include Narendra Mangala.

The application for the patent was published on April 17, under issue no. 16/2026.

According to the abstract released by the Intellectual Property India: "The present invention discloses a cloud-native distributed data pipeline system for scalable feature engineering, automated CI/CD integration, and real-time analytics using PySpark and distributed SQL engines. The system comprises a data ingestion module, distributed processing layer, feature engineering engine, distributed SQL engine layer, CI/CD orchestration module, real-time analytics module, and cloud-native orchestration layer. The invention enables seamless integration of batch and streaming data pipelines, automated deployment workflows, and low-latency analytics. The system provides improved scalability, efficiency, and reliability in modern data engineering environments."

Disclaimer: Curated by HT Syndication.