Enterprise Data Lake Solutions

A data lake is a storage repository that holds a vast amount of raw data in its native format until it is needed. While a hierarchical data warehouse stores data in files or folders, a data lake uses a flat architecture to store data.

Meet big data challenges and drive real-time analytics with next-gen hybrid data management solutions.

Using data collected from social media, we helped our clients detect potential buyer trends for consumer products and reduced their operating costs by eliminating their traditional trend analytics.

Drive ROI from your data lakes with AI-powered search and analytics applications to reveal valuable insights which you proceed for action with confidence.

With enterprise data lakes structures in place, companies have started to gain various benefits:

• Centralize enterprise content silos
• Eradicate legacy source systems and transform to serve the new-age consumers
• Reimagine insight discovery and analytics processes
• Empower data in ways that are limited in the source systems

But implementing an enterprise data lake is just a start. How can you unlock its full value to solve problems and gain a competitive advantage?

The key is having effective applications for searching, analyzing and deriving insights from the massive structured and unstructured data in the lake.

Case Studies