The term big data has come to be used to describe multi-terabytes of data sets consisting of various data types that are processed at various rates. As more and more organizations are stepping out of the traditional boundaries of the enterprise to understand the impact of the multiple variables on their business, big data keeps growing bigger. Social media channels, websites, automatic censors at the workplace and robotics are producing a plethora of structured, unstructured and semi-structured data. Advanced analytics based on big data is the art of putting all these fragmented and often disconnected pieces together to generate actionable insights for the enterprise.
To make this easy, KloudData leverages Solix Inc.’s Big Data Suite (BDS) platform built on Hadoop. Solix BDS has a pre-built Information Lifecycle Management (ILM) framework to ingest and store both structured and unstructured enterprise data in Hadoop. KloudData then applies production grade machine learning techniques on Big Data stored in Solix BDS using the industry standard Predictive Modeling Markup Language (PMML) constructs leveraging Zementis Inc.’s UPPI In-Database Analytics framework.