5 Iasa August eSummit – Designing Distributed Machine Learning Systems with Apache Spark 2.0

By Adj. Prof. Giuseppe Mascarella & Jacek Laskowski Apache Spark 2.0 and Scala have been designed to build mission critical applications that address the needs of processing distributed etherogenus data sets. For architects, Spark integrates Data Warehouse and Development domains, it can handle 100X faster the multi-node multi-threaded computing needs of demanding scenarios. In this session