A technological startup designed for Big Data in our data-driven world: realities, stakes and recommendations.

Henceforth empowered by the access to mobility, people and smart devices are generating more than ever an unmatched vast amount of data, anywhere and anytime. The stakes and challenges around and within this data are also unmatched, in terms of services, knowledge, applications and intelligence. 

Therefore, a technological startup designed for Big Data in our data-driven world with unmatched challenges, should master the implementation and adoption of Hadoop and DevOps.

This startup should be able to manage large repositories of Structured, Semi-structured and Unstructured data. 

Its visualized and analytics ecosystem should be able take advantage of the many benefits that are inherent within Hadoop deployments. 

The platform provided by the startup should be able bypass the traditional ETL process and connect to data directly at the source. The ability to search through unstructured text, and utilize faceted search is welcome. Stream billions of records from a Native Data Source directly to a Users Account. 

The platform should be flexible, scalable, secure and integrate: Interactive and intuitive Dashboards; Data Segmentation; White Labeled Interface; Log Data Analytics; Click Stream Analytics; Interactive Web Widgets and Customized Experience.