CTO, Larry Liang, has written a paper that details our approach to big data analytics tools and machine learning applications. In an easy, straight-forward manner, our business intelligence platform now can be set up with an Apache Spark cluster with our components installed on the Spark nodes to fully take advantage of the platform’s distributed processing capabilities. Not only does this BI integration enable faster and more efficient analytics compared to other business intelligence solutions that copy data out of the cluster, but it makes the library of machine learning models publicly available for Spark easily usable by business users, not just data scientists.
June 5, 2017
