How Is a Data Lake Different From Traditional Data Storage?

[data qix]

The difference between the traditional database and the data lake lies in how the information is treated and organized. While the former usually has certain requirements for the format of the stored information, the latter may store both structured, unstructured, and semi-structured data in their natural formats. This feature explains why the data lake is widely used by organizations to conduct analytics and machine learning on a larger scale. As for the question about data lake what is, one should realize that the data lake is supposed to handle different sources of data without forcing all of it to adhere to one particular schema beforehand. The proper architecture of the data lake would offer all the necessary solutions in terms of organizing, processing, securing, and analyzing the data once needed. At the same time, it should be acknowledged that the traditional system of storing data may be highly efficient in case of structured business applications and transactions.