First of all, Java plays an important role in Hadoop, a big data processing framework. Hadoop is a distributed data processing framework, which is used to store and process big data on large-scale clusters. Hadoop uses Java as the main development language, and has written the core components such as Hadoop Distributed File System (HDFS) and MapReduce.
Secondly, Java is also one of the main programming languages of Spark, a big data processing framework. Spark is a fast general computing engine for large-scale data processing. Spark provides Java API to process data, and provides rich libraries and tools, so that developers can use Java to write efficient big data processing programs.
In addition, Java has many related open source projects and tools, such as Apache Kafka and Apache Storm, which are used to process real-time data streams and build real-time data processing systems. These projects usually use Java as the main programming language.