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See resources for how to deploy Java into data science, data engineering and big data workflows, and improve performance in key big data platforms such as Hadoop, Spark, Cassandra, Kafka and more.
Java is increasingly relevant to machine, deep, and reinforcement learning. Java developers need no longer be restricted to technical computing and statistical programming languages like Python and R.
34:05Azul Engineer Michael Roeschter explores how Java can be used throughout the whole IIoT environment, from edge device to the data center.
39:01Ariel Pisetzky, Taboola's VP of IT, explains why switching to Azul Java to power their Big Data infrastructure was essential to fuel the rapid growth of their company.
49:17This webinar reviews data science and machine learning and how open source frameworks can be used to quickly develop powerful data science applications.
Better Java and Infrastructure Cost Savings for Big Data Technologies.
Azul's Big Data partners include Datastax, Cloudera, Feedzai, Red Hat, Neo4J, GridGain and more.
Azul Platform Prime delivers a robust, highly scalable Java Virtual Machine that reduces infrastructure costs and improves performance. Learn More!
