SCAS is built on a solid Data Warehouse represented by a proprietary packaging of the Hadoop Distributed File System (HDFS).
HDFS is built to support applications with large data sets, including individual files that reach into the terabytes.
Big Data Engine
Apache Spark is a powerful open-source processing engine built around speed, ease of use, and sophisticated analytics.
It was originally developed at UC Berkeley in 2009. Since its release, Apache Spark has seen rapid adoption by enterprises across a wide range of industries.
Internet powerhouses such as Netflix, Yahoo, and eBay have deployed Spark at massive scale, collectively processing multiple petabytes of data on clusters of over 8,000 nodes.
SCAS built-in smartness layer is designed to analyze and correlate data, present actionable information to help executives, managers and other corporate end users make informed business decision, and ultimately inject automation into daily workflows.
To ensure the real-time high scalability of this AI layer, the SCAS incorporates an In-Memory Database (IMDB) running seamlessly on top of HDFS.