What is data lake and how it works

#Data-Lake:

A data lake is a method of storing data within a system or repository, in its natural format,that facilitates the collocation of data in various schemata and structural forms, usually object blobs or files.

Traditional database theory dictates that you design the data set before entering any data. A data lake, also called an enterprise data lake or enterprise data hub. Then get all these data sources and dump them all into a big Hadoop repository, and you won’t try to design a data model beforehand. Instead, it provides tools for people to analyze the data, along with a high-level definition of what data exists in the lake. eople build the views into the data as they go along. It’s a very incremental, organic model for building a large-scale database.

As part of its Intuit Analytics Cloud, Intuit has a data lake that includes clickstream user data and enterprise and third-party data. But, the focus is on “democratizing” the tools surrounding it to enable business people to use it effectively. Hadoop is that the platform isn’t really enterprise-ready. It needs capabilities that traditional enterprise databases have had for decades — monitoring access control, encryption, securing the data and tracing the lineage of data from source to destination.