To address some of these issues,a new architecture choice has emerged: the data lakehouse, which combines key benefits of data lakes and data warehouses. This architecture offers low-cost storage in an open format accessible by a variety of processing engines like Spark while also providing powerful management and optimization features.

The data lakehouse combines the key benefits of data lakes and data warehouses. This architecture ofers a low-cost storage format that is accessible by various processing engines like Spark while also providing powerful management and optimization features.

However, in a nutshell, this end-to-end architecture enables organizations to extract data in real-time regardless of which cloud or datastore the data resides in and use it in aggregate for greater insight and artificial intelligence (AI), with governance and unified access across teams.