Data Lakes allow you to import any amount of data in real time - data is collected from multiple sources and moved into the Data Lake in its original format. This process allows you to resize data to any size, saving your time for defining data structures, schemas, and transformations.

Data Lakes allow you to store relational data such as operational databases and data from line of business applications and non-relational data such as mobile apps, IoT devices, and social media.

Data lakes will enable organizations to generate different types of information, including historical data reporting and machine learning where models are built to predict likely outcomes and field predictive analytics.