In the digital age companies are producing huge amounts of data derived from a variety of sources, such as the social media platform, IoT devices, enterprise applications, and interactions with customers. Traditional data warehouses and databases are useful in storing structured information, frequently aren't able to handle the speed of, the variety, and the amount of big data. This is the point at which these data lakes become an essential element of the modern big data architectures. Data lakes are central storage system that allows businesses to store semi-structured, structured as well as unstructured data in its original form at any size. Contrary to traditional storage systems that are based on traditional storage, data lakes offer more flexibility, scalability, as well as cost-effectiveness, which makes them important in today's increasingly data-driven environment. Data Science Course in Pune
Educate. Empower. Act. The mission of Project WET is to reach children, parents, educators and communities of the world with water education.
