Jonathan Tyshler

IntroductionIn the era of big data, organizations are increasingly recognizing the limitations of traditional Hadoop infrastructures. As data volumes grow and analytics requirements become more complex, the need for a more agile, scalable, and cost-effective solution has never been greater. Enter the data lakehouse architecture—a modern approach combining the best data lakes and data warehouses. […]

The data lakehouse is an architectural pattern that leverages storage layers like Hadoop or object storage as the center of gravity for data. Using tools like Dremio, you can create a decoupled, modular data warehouse. The key component connecting platforms like Dremio to your data lake is a data lakehouse table format such as Apache […]