Building the Data Lakehouse

The second essential element of the data lakehouse needed for analysis and machine learning is recognizing and using the universal common connector. The universal common connector allows data of all varieties to be combined and compared. Without the universal common connector, it is very difficult (if not impossible) for the diverse types of data found in the data lakehouse to be related. But with the universal common connector, it is possible to relate any kind of data.

With the data lakehouse, it is possible to achieve a level of analytics and machine learning that is not feasible or possible any other way. But like all architectural structures, the data lakehouse requires an understanding of architecture and an ability to plan and create a blueprint.