AI Glossary
Data Lake
A centralized storage system that holds large amounts of raw data in its original format.
Data Lake
Overview
Organizations collect enormous amounts of information every day.
Customer interactions.
Documents.
Emails.
Images.
Videos.
Application logs.
Sensor data.
Financial records.
Rather than organizing all of this information immediately, many organizations store it in a data lake.
A data lake is a centralized repository that stores large amounts of data in its original format. Unlike traditional databases, a data lake does not require information to be structured before it is stored.
A helpful way to think about a data lake is a large reservoir.
Water flows into the reservoir from many different sources. Similarly, data from many systems can be stored together in a data lake.
This flexibility makes data lakes particularly useful for analytics, machine learning, and AI applications. Data scientists and analysts can access information and transform it later based on specific needs.
As organizations generate increasingly large amounts of information, data lakes have become an important part of modern data infrastructure.
Why It Matters
Data lakes allow organizations to store large volumes of diverse information for future analysis and AI applications.
Real-World Example
A retailer may store customer transactions, website activity, support tickets, and marketing data together in a data lake.