What is data lake - By Kapil Sharma

 A data lake is a large, centralized repository that stores all types of structured, semi-structured, and unstructured data at any scale. It is a flexible and cost-effective way to store large volumes of raw data in its native format, without the need to pre-define the structure or schema beforehand.

In a data lake, data is stored in its raw form, as it is generated or acquired by an organization. This means that data can be ingested from a variety of sources, such as sensors, social media, customer interactions, and more.

The data in a data lake can then be processed and analyzed using different tools and technologies, such as data warehouses, machine learning algorithms, and data visualization tools. This allows organizations to gain insights from the data and make data-driven decisions that can improve their business operations, products, and services.

Overall, a data lake provides a way to store and manage large volumes of diverse data, making it a valuable resource for businesses that need to analyze and gain insights from their data.