Think of a Data Lake as a vast and deep lake, where all the data from your business flows into and settles at the bottom. Just like a lake collects water from different sources, a Data Lake collects data from various systems, applications, and devices within your organization. This can include customer data, sales data, marketing data, and more.

The Data Lake is not just a place to store data, but also a place to organize large volumes of highly diverse data and explore, analyze, and gain insights from that data. Just as you can fish in a lake to catch different types of fish, you can use advanced analytics tools to analyze the data in your Data Lake and gain insights that can help you make better business decisions.

A data lake is a type of data architecture and a data architecture refers to the overall structure and organization of an organization's data assets, including the rules, policies, and models that govern the collection, storage, processing, and use of data. It involves designing a blueprint for the management and integration of data across various systems, applications, and technologies in a way that supports the organization's goals and objectives.

In this animation video, we explain what a data architecture entails by using water as a metaphor for data. After watching this clip, you'll have a clear understanding of the different processes that go on inside a data architecture.