What is a Data Lake?

Huge amounts of data in their original format are stored in a centralized location called a data lake. Following processing, the data can serve as the foundation for a range of analytical requirements.

A data lake's open, expandable architecture allows it to hold data from any provenance, whether it is semi-structured, like webpages; unstructured like pictures and audio files; or structured, excel docs nd tables without compromising allegiance.

Usually, the data files are kept in stages so that different kinds of consumers can utilize the data in different ways for suited requirements. Big data, predictive analytics, and machine learning (ML), and other types of data analytics are powered by data lakes, which offer fundamental data consistency across a range of applications.  

As the cloud offers performance, dependability, availability, and analytic engines, data lakes are a suited workload for cloud deployment. It is considered beneficial for good security, quicker deployment times, consistent feature and functionality upgrades, expanded geographic coverage, and prices based on actual usage. Another advantage of data lakes is its elasticity and the ability to scale.  

Use Cases of Data Lake  

Media & Entertainment (Streaming)

Banking and Commerce

Healthcare Industry

Omnichannel Retailers

IoT (Internet of Things)

Supply Chain – Digital