The hidden value of your data lake
Blog post from Starburst
Data lakes are being increasingly recognized for their potential to serve as comprehensive solutions for storing and analyzing data, rivaling traditional data warehouses. Companies are beginning to appreciate the structured capabilities of data lakes, which can support various analytical use cases, including multi-terabyte queries and real-time analytics, while offering enhanced security and flexibility. Innovations such as Apache Iceberg and Delta Lake enable data modification and compliance with regulations like GDPR. A modern data lakehouse architecture, particularly when built on open-source, vendor-agnostic formats, can future-proof data strategies by avoiding vendor lock-in and reducing costs. As the market evolves, more companies are opting to consolidate their analytics within a single data lake environment, driven by its simplicity and cost-effectiveness, and the ability to leverage multi-engine approaches that provide flexibility and ease of access for data teams.