https://www.infoq.com InfoQ Apache News feed https://www.infoq.com/news/2026/08/spotify-data-lake-point-queries/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Apache-news <img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/><p>Spotify introduced external indexing architecture for Apache Parquet data lakes that enables low-latency point queries without replicating datasets into operational databases. The approach maps lookup keys to Parquet files and row locations, allowing targeted reads from cloud object storage while supporting analytics, machine learning, AI applications, and online services from the same datasets.</p> <i>By Leela Kumili</i> Big Data AI Architecture Google Cloud IndexedDB Apache Iceberg Data Lake Software Engineering Data Distributed Systems Apache Query Low Latency AI, ML & Data Engineering Development Architecture & Design news Wed, 12 Aug 2026 14:26:00 GMT https://www.infoq.com/news/2026/08/spotify-data-lake-point-queries/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Apache-news Leela Kumili 2026-08-12T14:26:00Z /news/2026/08/spotify-data-lake-point-queries/en