Within all the concepts that we know today in connection with computing and new technologies, debemos referirnos a data lake vs big data, two specific terms that, even when they have some similarities, differ notably from each other. To make good use of them we must know in depth what its main characteristics are.
Understanding each of the concepts
Before explaining in more detail what are the differences between Big Data and Data Lake, we are going to put ourselves in a situation and find out what each of these concepts consists of. Big Data is the procedure that is responsible for collecting a large amount of data that is related to the entity, this information can be about the sector that the company occupies, the target audience, the competition that exists or the position it occupies. is on the market, among other things. Once Big Data collects all this data, is thoroughly analyzed. The goal is to find useful information for business development, discarding those data that are not relevant to him.
For his part, the data lake is, as the name suggests, a data lake. In the same way that it happens with Big Data, It is also in charge of collecting all the necessary information, but for this case they do not discard data that is not relevant, all are simply stored, whether or not they are valid for the business. Whatever the case, both Big Data and Data Lake have a main objective: find all the possibilities that exist for the business to prosper and evolve.
The most important differences
Even though the objective of both concepts is common, the main difference between each of them is the way they are used. both to process and to save the information. To process the information and then store it both the Big data like Data Lake, they need a lot of space. But the first of them doesn't need as much as the second, since the Data Lake is growing continuously. in addition, It must be said that Big Data will need much more power to be able to correctly carry out its task, since then you will have to screen the information that does not interest you.
Both Big Data and Data Like work in the short term. Despite this, the difference between the two is that Big Data will only take into account the data that is useful at that precise moment, while Data Like stores all data, are relevant now or not in case they may be useful in the future.
Regarding the processes they carry out, Big Data comprehensively analyzes data only once, saving the essentials for the business, while the rest of the information leaves it aside. For his part, Data Lake stores all data so it can be processed when needed.
In summary, both Big Data and Data Lake are concepts that store information, despite this according to what is needed in the business, we must select one model or another. The support they provide, used conveniently, It will give any company the possibility to find patterns and keys that allow it to continue evolving to maintain a positive progression. The fate of the company may depend on its correct use, so you always have to select appropriately and get the most out of both Data Lake and Big Data.
