1 year ago

Data is the most valuable resource on earth, and a business’ success scales up with their ability to maximize value from data. That’s why many organizations are turning to data lakes to improve analytics, enable more effective collaboration and support data-driven decision-making at scale. Different from traditional relational databases, data lakes are capable of ingesting data in its raw form from multiple sources.

A data lake commonly stores historical data, and that data should be stored in compliance with data privacy standards.

More organizations are adopting nonrelational databases, like data lakes, thanks to their ability to provide real-time analytics and capture additional data types.