What is a data lake

Today, everyone talks about the benefits of big data . For this reason, companies try to work with databases on a large scale, but are faced with the problem that all data is heterogeneous and unstructured, and it takes a long time to process it before loading it into the databases. As a result, working with big data is too complicated, expensive, and sometimes some of the data is lost, although it could be useful in the future.

This can be done using data lakes, which help to handle large amounts of unstructured data quickly and inexpensively.

Definition of data lake

In Spanish, the data lake is translated as data lake . It is a huge repository in which various raw data is stored , that is, without ordering or processing. Thus, data lakes are like a fish in a lake that comes from a river: it is not known exactly what type of fish it is and where it is. And to cook the fish, that is, to process the data, you have to fish it.

Unstructured data is what is most often encountered in everyday life. Videos, books, magazines, Word and PDF documents, audio recordings, and photos are unstructured data, and they can all be stored in the data lake.

Operation of a data lake

Data lake is a huge repository that accepts any file and in all formats. The source of the data is also irrelevant. The data lake can accept data from CRM or ERP systems , product catalogs, banking software, sensors or smart devices - that is, any system that the company uses.

Once the data is stored, you can work with it: extract it according to a specific template in classic databases, as well as analyze and treat it directly in the data lake.

For this you can use Hadoop, a software that allows you to process large amounts of data of different types and structures. It allows you to distribute and structure the collected data, establish analyzes to build models or test assumptions, and use machine learning.

In addition, BI systems allow companies to solve problems of in-depth analysis (data mining), predictive modeling and visualization of the results obtained. The field of application is multifaceted: from financial management to risk management and marketing.

Differences between data lakes and conventional databases

The main difference between data lakes and conventional databases is structure . Only clearly structured data is stored in databases, while unstructured and unstructured data is stored in data lakes.

If it is a conventional database, you have to define the type of data, analyze it, structure it, and then write it in a well-defined place in the database. It is possible to create an algorithm that works with specific cells because we clearly know what is stored in those cells.

In the case of data lakes, the information is structured at the exit, when the data needs to be extracted or analyzed. This analysis process does not affect the lake data itself: it remains unstructured, so it can also be conveniently stored and used for other purposes.

For simplicity, you can imagine that the data lake is a hard drive where all the files are stored. And the database is the table that all these files are posted to.

https://www.beaucenter.com/pii_email_75b62aaf69e906c6387f-outlook-mail-error-code-with-solution/

https://www.beaucenter.com/solve-error-code-pii_email_abc8e137455609d689bd/

https://www.beaucenter.com/category/technology/

https://www.beaucenter.com/pii_email_841b43fada260254c8d3-error-code-solved/

https://www.beaucenter.com/pii_pn_8a68e8c174733080624b/

https://www.beaucenter.com/how-to-solve-pii_email_e2bfd865341b76f055e2-errror/

https://www.beaucenter.com/agent-sai-srinivasa-athreya-movierulz/

https://www.beaucenter.com/money-heist-torrent/

https://www.beaucenter.com/bombay-dyeing-bedsheet/

https://www.beaucenter.com/how-to-calculate-99-2-f-to-c/

https://www.technologyify.com/

https://www.technologyify.com/solve-pii_email_490dad511e7715c1a0c3-error-code/