More than ever, the ability to use data for decision-making is critical to company success. Despite this knowledge, companies are still not fully empowering their employees with easy access to the data they need. According to Zhamak Dehghani, the founder of Data Mesh, we must start thinking outside of the box because the traditional approach to managing and collecting data is not sufficient any longer.
For decades, there has been a divide between operational and analytical data with ETL as the intermediary process to get data from operational systems into the analytical data warehouse. ETL, which has always been primarily in the hands of IT developers, is perceived as a bottleneck to delivering timely analytical data. Furthermore, dimensional data models are not well suited for machine learning models that have become essential.
To overcome this, the data lake emerged around 2010. The idea of the data lake is to store vast amounts of semi-structured data in object stores to allow various consumers...