A centralized scalable repository to store structured and unstructured data and run different types of analytics to drive intelligence.
A centralized scalable repository to store structured and unstructured data and run different types of analytics to drive intelligence. Data is collected from multiple sources and moved into the data lake in its original format. This process allows you to scale to data of any size while saving time on defining data structures, schema, and transformations.
Organizations that implement data lakes can do new types of analytics like machine learning over new sources like clickstream data, log files, social media feeds, or IOT data stored in the data lake. This helps them spot and act upon opportunities for faster business growth thus generating more stakeholder value.
Harness a variety of data in one single repository to drive enterprise-wide innovation using AI & ML
Identify and pursue business growth opportunities faster with a holistic view of enterprise-wide data
Democratize access to enterprise-wide data within the company driving increased productivity & innovation.
Save a variety of data, structured or unstructured, in flexible low-cost data storage for longer periods.