Advantages of data lakehouses

Data lakehouses address most of the challenges of using data warehouses and data lakes. Some advantages of using data lakehouses are that they reduce data redundancies, which are caused by two-tier systems such as a data lake along with a data warehouse in the cloud. This translates to reduced storage costs and simplified maintenance and data governance as any data governance features, such as access control and audit logging, can be implemented in a single place. This eliminates the operational overhead of managing data governance on multiple tools.

You should have all the data in a single storage system so that you have simplified data processing and ETL architectures, which also means easier to maintain and manage pipelines. Data engineers do not need to maintain separate code bases for disparate systems, and this greatly helps in reducing errors in data pipelines. It also makes it easier to track data lineage and fix data issues when they are identified...