What makes a data lakehouse different from traditional platforms?

A data lakehouse provides a number of desirable attributes of lakes and warehouses in one architecture. It can be used to carry both raw and structured data and can include the functionality required for analytics, reporting and data management. This can lower the requirement for shifting data amongst numerous platforms for various workloads. Yet careful planning in terms of governance, storage, performance and access controls is still required to implement. If you’re looking to modernize your data environment, Datalance can be a helpful tool to learn and understand how it might fit into your current infrastructure and analytics needs.