Three Benefits of Data Meshes for Business

How to empower your Data Driven Culture

Photo by Erol Ahmed on Unsplash

Data Meshes are an organizational approach to make structures such as Data Lakes or Lakehouses efficiently usable in the company. Here a three benefits for the business.

Recap: Data Lakehouse

In order to have a technically mature platform on which to build the Data Mesh, it is recommended to build a Data Lakehouse. Storing raw data in Data Lakes, while loading parts of it into the Data Warehouse for purposes like Self-Service BI or ML Services makes it a Data Lakehouse. The Data Lakehouse should combine the advantages of Data Lakes and Data Warehouses into a hybrid concept. The two systems are not operated side by side, but as a novel single system. Benefits of a Data Lakehouse could be [1]:

• Decoupling data storage from data processing to achieve better scalability.
• Open standardized storage formats and interfaces.
• Support for different data types, from unstructured to structured data.
• Support for various workloads, such as data science, machine learning, SQL, and analytics.
• End-to-end streaming: streaming support eliminates the need for separate systems to serve real-time data applications.