Data really powers everything that we do

Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. Big data analytics helps organizations harness their data and use it to identify new opportunities. That in turn, leads to smarter business moves, more efficient operations, higher profits and happier customers.

CloudRay provides a unique ability to our clients to access data anytime, anywhere, and run real-time streaming analytics to transform data insight into impact.

Credentials of CloudRay as your partner :

Data Management :Data needs to be well organized and high quality before it can be analyzed. It is important to build and maintain standards for data quality while data constantly flowing in and out of an organization. With the opportunity to store all types of structured and unstructured datasets, NoSQL has taken off of as the standard storage platform on Hadoop. Our NoSQL team focuses on providing strategy and implementation around non-standard data sources.

Data Science and Spark :Due to its incredible speed and flexibility, Spark is quickly becoming the king of the Big Data tools. Our Data Science team focuses on providing strategy and implementation around Data Science and Spark.

Data Virtualization :CloudRay has a team focused on tools such as Informatica and Composite to bring together federated data sources into a single place for many Big Data initiatives.

Hadoop :Hadoop is an open source software framework can store large amounts of data and run applications on clusters of commodity hardware. It has become a key technology to doing business due to the constant increase of data volumes and varieties, and its distributed computing model processes big data fast. CloudRay has a strong team focused exclusively on Hadoop strategy, infrastructure, security and performance.

Business Intelligence and Analytics :Big Data only provides value if it is intelligible and useful. We work with a range of BI and Data Visualization tools to help you make sense of your data.