The significant pressures artificial intelligence (AI) has placed on data architectures to be more efficient has led to the rise of data lakehouse architectures, which decouple the storage and tracking of data from how it is accessed and processed. The essence of this approach lies in storing datasets within a data lake, utilizing open table formats such as Apache Iceberg, Delta Lake, or Apache...

In this digital world, data is an important asset; however, organizations are searching for storage solutions that will help them manage big data’s volume, latency, resiliency, and data access requirements. Traditionally, companies used existing tech stacks that delivered the same capabilities as a warehouse or lake but had adjustments in handling massive amounts of semi-structured data....