Apache Drill and Spark Combine to Form the Next Generation Real-Time Analytics Platform
By apacciooutlook | Monday, December 03, 2018
SAN JOSE, CA: CellOS– a software solutions provider for the communications industry– announces deployment of MapR Converged Data Platform leveraging Apache Drill and Apache Spark to deliver real-time data streaming applications and boost monetization of mobile broadband.
The increasing flow of data in broadband networks is growing the awareness for the value of this data within the communication service providers (CSPs). CellOS, in an attempt to power streaming analytics for telecommunications applications is using the MapR Converged Data Platform to enable CSPs to extort important data in real-time, gain significant insights from them, and identify revenue-generating opportunities for customers.
CellOS uses Apache Drill andApache Spark to control the innovative features in the MapR Platform. Apache Drill enables self-service data exploration on big data with a schema-free SQL query engine, while Apache Spark makes large-scale data processing faster. The enterprise-grade features like NoSQL database MapR-DB with the schema-free analytics capabilities in Drill and the real-time streaming of Spark is used to offer its customers real-time data streaming applications to optimize the monetization of mobile broadband.
The Zoomdata stack provides visual analysis of big datasets in quick time. In the future, CellOS plans to extend its next generation real-time analytics platform to other industry verticals beyond telecommunications.
“Due to our real-time price performance envelope, the MapR Platform will create added value to CellOS’ already impressive offering,” says Martin Darling, APAC Vice President, MapR Technologies. “CellOS selected the MapR Converged Data Platform for its streaming architecture, allowing data to be processed as it arrives. Additionally, the cost of reliable storage will become a key component of the big data business case as data volumes continue to grow tremendously.”