https://www.infoq.com InfoQ Apache 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 <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> Low Latency Data Distributed Systems Software Engineering Data Lake Big Data AI Architecture Google Cloud IndexedDB Apache Apache Iceberg Query Development AI, ML & Data Engineering 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 Leela Kumili 2026-08-12T14:26:00Z /news/2026/08/spotify-data-lake-point-queries/en