Organizations are adopting modern data management approaches, such as semantic-based knowledge graphs, to connect data across the enterprise and accelerate the value from their data lake investments.
While data lakehouses solve some issues, they are not a universal remedy. They really are the next generation of data lakes, incorporating some features and functionality found in data warehouses but with an eye toward data science.
A lakehouse is a new, open architecture that combines the best elements of data lakes and data warehouses.
Taking a proactive and strategic approach to data management can save time, money, and resources while unlocking even more powerful insights that lead to business outcomes.
Lakehouses combine the benefits of warehouses and lakes so organizations can use their massive quantities of unstructured data with the speed and reliability of a warehouse.