Aug. 16, 2023, 8:20 a.m. | Neha Pawar

InfoQ - AI, ML & Data Engineering www.infoq.com

Neha Pawar discusses how to query data on the cloud directly with sub-seconds latencies, diving into data fetch and optimization strategies, challenges faced and learnings.

By Neha Pawar

ai apache apache pinot challenges cloud cloud object storage cost data data access data analytics data storage fetch ml & data engineering object storage optimization presentation qcon london 2023 query real-time speed storage strategies transcripts

More from www.infoq.com / InfoQ - AI, ML & Data Engineering

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne