Dask & cuDF: Key to Distributed Computing in Data Science | HackerNoon
Dask orchestrates work across multiple workers while integrating GPU acceleration through cuDF, enabling efficient large-scale data processing for data scientists.
Handling Large Data Volumes (100GB-1TB) in Scala with Apache Spark
Apache Spark is a distributed computing framework designed to efficiently handle large datasets ranging from 100GB to 1TB, addressing memory limitations and scalability.
The Word Count program is a key example of distributed computing frameworks, demonstrating how to count word occurrences using methods such as flatMap and reduceByKey.