Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake. In a rush to own this term, many vendors have lost sight of the fact that the openness of a data architecture is what guarantees its durability and longevity.
On data warehouses and data lakes
Data lakes and data warehouses unify large volumes and varieties of data into a central location. But with vastly different architectural worldviews. Warehouses are vertically integrated for SQL Analytics, whereas Lakes prioritize flexibility of analytic methods beyond SQL.
