Organizations have been collecting, processing, and storing data in a variety of formats for over 50 years. As storage became cheaper, many organizations built data warehouses to evaluate their businesses based upon what happened yesterday. New technologies have emerged and matured over the last decade, allowing for data integration that can provide predictable and actionable insights.

Big Data refers to massive amounts of both structured and unstructured data, which simply cannot be effectively managed using traditional databases or software. Predictive analytics, or the ability to apply statistical models and analyze this data for business insights, are very powerful for making informed business decisions.

Hadoop is an open-source framework for storing and processing Big Data. It provides massive storage, huge processing power and leverages commodity server hardware. Many organizations and product vendors are leveraging this mature platform for Big Data.

AR Validation Services has built a data solution practice around Big Data to help our clients navigate this emerging space. AR’s data solution experts work with clients to develop business use cases, select technologies, build prototypes, develop production data solutions, and discover insights through predictive analytics.