Machine learning and data science workloads ignite Apache Spark adoption

Add to favoritesThe use of Apache Spark is dramatically increasing as new workloads create more use cases. The open source cluster computing framework Apache Spark is now being actively used by 54% of people and the majority of them (64%) are finding that it’s proving invaluable. That’s according to a Cloudera study, conducted by Taneja Group on 7,000 people from technical and managerial roles that are directly involved in big data. According to the study the technology is being used for the most important use cases by 57% of people, when that technology is provided by Cloudera. Those use cases aren’t always for the likes of data processing, engineering and ETL workloads that are said to make up 55% of current Spark use. The new workloads being seen on Spark…


Link to Full Article: Machine learning and data science workloads ignite Apache Spark adoption

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about homeAI.info and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!