Article David E Nelson · Apr 26, 2019 13m read A Containerized Machine Learning Playground with InterSystems IRIS Community Edition, Spark, and Zeppelin The last time that I created a playground for experimenting with machine learning using Apache Spark and an InterSystems data platform, see Machine Learning with Spark and Caché, I installed and configured everything directly on my laptop: Caché, Python, Apache Spark, Java, some Hadoop libraries, to name a few. It required some effort, but eventually it worked. #AI #Beginner #Best Practices #Containerization #Machine Learning #InterSystems IRIS 8 3 7 874
Article David E Nelson · Apr 5, 2019 6m read Docker for Windows and the InterSystems IRIS Data Platform Now that the InterSystems IRIS Data Platform Community Edition is available on Docker Hub (https://hub.docker.com/_/intersystems-iris-data-platform), it seems like a great time to try InterSystems IRIS in a container. #Beginner #Cloud #Containerization #Docker #Microsoft Windows #InterSystems IRIS 4 5 2 1.1K
Article David E Nelson · Mar 9, 2017 9m read Machine Learning with Spark and Caché Apache Spark has rapidly become one of the most exciting technologies for big data analytics and machine learning. Spark is a general data processing engine created for use in clustered computing environments. Its heart is the Resilient Distributed Dataset (RDD) which represents a distributed, fault tolerant, collection of data that can be operated on in parallel across the nodes of a cluster. Spark is implemented using a combination of Java and Scala and so comes as a library that can run on any JVM. #AI #Analytics #Big Data #JDBC #Machine Learning #Python #Caché 11 5 1 2.6K
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