Big Data

Big data is data that exceeds the processing capacity of conventional database systems. The data is too big, moves too fast, or doesn’t fit the structures of your database architectures. To gain value from this data, you must choose an alternative way to process it.

• Big Data is data that is of large volume
• Big Data is data that is being generated at a much faster rate than data in the past from all kinds of sources including social media.
• Big Data is data that is not a single type i.e. structured and a variety of structured, unstructured etc.
• Big Data is data that requires newer ways to store, process, analyze, visualize, and integrate.

Hadoop

Apache Hadoop is open source framework that pioneered a new way for the distributed processing of large, enterprise data sets. Instead of relying on expensive, and different systems to store and process data, Hadoop enables distributed parallel processing of huge amounts of data across inexpensive, industry-standard servers that both store and process the data.

NoSQL

NoSQL (commonly referred to as "Not Only SQL") represents a completely different framework of databases that allows for high-performance, agile processing of information at massive scale. In other words, it is a database infrastructure that has been very well-adapted to the heavy demands of big data.

Other Tools we use

• Office 365
• SharePoint
• Microsoft Dynamics
• Linux
• VMWare