Building scalable enterprise digital commerce for a global pharma giant
Digital transformation around the e-commerce services across multiple geographies and business divisions for a globally leading pharma company.
Kafka being a potential messaging platform when integrated with Apache Spark which is a fast, in-memory data processing engine allows efficient machine learning for SQL workloads that need fast iterative access to data sets.
Spark greatly speeds up all kinds of data processing for implementing algorithms that are often iterative. e-Zest comes with expertise in integrating your Java workloads with Kafka-Spark API that enables scalable, high-performance processing of live data streams that can be pushed to databases, file systems and live dashboards. We have worked on multitude of data sources such as Twitter, Kafka and Flume and also have deep experience of processing data using complex algorithms.
Contact us at info@e-zest.com to know more if you are working on real-time streams of data and would want support to process it fast using Spark Streaming.
