The discussion revolves around the limitations of traditional Hadoop-based data lake architectures, which struggle to provide flexible access to data for operational machine learning (ML) and artificial intelligence (AI) applications. SingleStore, a fast, fully scalable relational database that supports ANSI SQL, is introduced as a potential solution to simplify data processing architecture and speed decision-making. It offers the best of both worlds: scalability on industry-standard servers like Hadoop, and full relational capabilities with transaction support and standard SQL interface. This enables businesses to run ML against all their data, including old and new data, in one process, providing instant access to the newest information as it comes in. SingleStore can replace or work alongside traditional data lake architectures, offering a simpler and faster system for ingesting and querying data.