Big data does not generate value for you. The generation of value is when we create insights that generate tangible results for the business. However, creating big data projects do not constitute simple tasks. There are many technologies, but the challenge of integrating a very diverse collection of structured and unstructured data is not trivial. The complexity of the work is directly proportional to the variety and volume of data that must be accessed and analyzed.
A possible alternative to this challenge is the creation of data lakes, which is a repository where it stores a large and varied amount of structured and unstructured data. The massive, easily accessible repository built on date (Relatively) inexpensive computer hardware is storing “big data”. Unlike data marts, Which are optimized for data analysis by storing only some attributes and dropping below the level aggregation date, the data lake is designed to retain all attributes, so especially When You do not know what is the scope of data or its use will be.
It is a new terminology, so there is no consensus as to its name. Some call data hub. We adopt the date lake which is most used term.
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