Apache Spark is an open-source distributed computing system that provides fast and flexible data processing capabilities. It is designed to handle large-scale data processing tasks, making it a popular choice for big data applications. With Apache Spark, users can easily manipulate data using familiar programming languages like Java, Scala, and Python.
I’ve been an active Apache Spark user since early 2015 and started to get exposed to the internals of it more and more in recent years.
This tag provides valuable insights, tutorials, and best practices for using Apache Spark to its fullest potential. Whether you’re a beginner or an experienced user, you’ll find resources to help you improve your data processing capabilities and achieve better results.