Apache Spark MLlib

Apache Spark MLlib is a library for machine learning that operates within the Apache Spark framework, which is designed for big data processing. MLlib provides tools and algorithms that help users build predictive models and analyze vast amounts of data efficiently. It supports various tasks like classification, regression, clustering, and collaborative filtering. By leveraging Spark's ability to process data in parallel across multiple computers, MLlib enables faster computation and can handle large datasets that traditional methods may struggle with, making it a powerful choice for data scientists and businesses looking to derive insights from big data.