Data lakes allow you to run event driven data strategies. Because data can be easily and quickly ingested, different analytical roles in your organization like data scientists, data developers, and business analysts can access the data and use it for optimal business purposes with their choice of analytics tools and frameworks
It reduces the constraints in data movement. Data can be imported at any rate in real-time, on-schedule or both. This process allows you to scale to data of any size, while saving time of defining data structures, schema, and transformations.
Data cataloging and security. With data lakes, you can store relational data from operational databases and data from line of business applications, and non-relational data coming from mobile apps, IoT devices, and social media.You can leverage advance analytics and machine learning to generate varying insights including reporting on historical data, build forecasting models, and provide predictive and prescriptive analysis.