A data lake is a centralized source designed to store, process, and protect significant amounts of structured, semi-structured, or unstructured data. You can store data in its native format and process any variety of data, ignoring size limits.
What Is Data Lakes?
, we can define a Data Lake as a store for large amounts of data without any prior treatment, that is, raw. There can also be data without applying any hierarchy. The Data Lake can execute different types of analysis, dashboards, and visualizations and generate Big Data processes, real-time analysis, and Machine Learning.
It is common for companies searching for a business solution that solves a problem or allows them to create more efficient processes,
Recently, one of the most common trends for organizations in terms of Business Intelligence is the implementation of a Data Warehouse and Data Lakes. The latter is a solution that is not so clear in concept for some, its benefits when it is ideal, or what scenarios are where it is best used.
From the data lake, information is transferring to various sources – such as analytics or other business applications, or to machine learning tools for further analysis.
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