Data Mesh vs. Data Lake: The Ultimate Guide to Modern Data Architectures
Companies today face an overwhelming flood of data. According to IDC , the amount of data created over the next three years will be more than the previous 30 years combined. All of that data might be difficult to manage with typical Data Management Software . Traditional systems face challenges in coping with the escalating volumes and intricacy of data in the modern digital era. These centralized systems gather data from diverse sources for analytical purposes, often located on-site, demanding substantial hardware, server room setups, and dedicated staff for management. So, how can businesses stay on top of the data wave? Two popular new models offer solutions - the data lake and the data mesh. Similar to enormous reservoirs, data lakes gather all of the data and make it accessible to all users. Data mesh splits up data into separate pools by business unit or product. Each approach has pros and cons for managing and using data. Combining them gives flexibility to handle differen...