How the QFabric System Enables a High-Performance, Scalable Big Data Infrastructure

Big Data Analytics is a trend that is changing the way businesses gather intelligence and evaluate their operations. Driven by a combination of technology innovation, maturing open source software, commodity hardware, ubiquitous social networking and pervasive mobile devices, the rise of big data has created an inflection point across all verticals, such as financial services, public sector and health care, that must be addressed in order for organizations to do business effectively and economically.

Analytics Drive Business Decisions
Big data has recently become a top area of interest for IT organizations due to the dramatic increase in the volume of data being created and due to innovations in data gathering techniques that enable the synthesis and analysis of the data to provide powerful business intelligence that can often be acted upon in real time. For example, retailers can experience increased operational margins by responding to customer’s buying patterns and in the health industry, big data can enhance outcomes in diagnosis and treatment.

The big data phenomenon brings up a challenging question to CIOs and CTOs: What is the big data infrastructure strategy?  A unique characteristic of big data is that, does not work well in traditional Online Transaction Processing (OLTP) data stores or with structured query language (SQL) analysis tools.  Big data requires a flat, horizontally scalable database, accessed with unique query tools that work in real time. As a result of this requirement IT must invest in new technologies and architectures to utilize the power of real-time data streams.