Apache Spark and it's Components
Explore the architecture and components of Apache Spark, including Spark Core, Spark SQL, MLlib, and GraphX. Understand how Spark achieves fast big data processing through Resilient Distributed Datasets and its Master/Slave design to support machine learning and streaming workloads.
We'll cover the following...
We'll cover the following...
Apache Spark
Spark was developed in 2019 at the University of California Berkeley. Apache Spark is an open-source and distributed processing system that is used for processing big data. It holds many advantages over Hadoop and one of them is very fast. It has the ability to utilize in-memory caching and ...