Besides, we will give you an introduction to data lake vs data warehouse.
What Is a Data Lake?
What is a data lake?
There are four major uses for a data lake.
What is security storage?
How to protect your data storage?
What is the best data security practice?
you’ve got the option to find answers in this post.
Since a data lake play an important role in storing data, how do we protect it from loss?
Data lakes have their functionality in data security but that is not enough.
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So, do you need a data lake?
The next part will give you some introduction to its challenges and benefits.
The data storage repository also faces some challenges in its development.
However, there is one big flaw for a data lake.
In a data lake architecture, raw data is stored with no oversight of the contents.
However, they have two significant distinctions that is the support for data types and their approach to schema.
Compared to data lakes, data warehouse is primarily used to store structured data.
It can house different types of data without the demands for a defined schema or a specific plan.
When referring to storing data, data lakes perform it with undefined reason while data warehouse is pre-defined.
