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Spark: Efficient Big Data Processing by Rohit Pasumarty is a document available to read on EtoBox.
What is Spark: Efficient Big Data Processing about?
The document discusses Spark, a fast big data processing framework that addresses limitations of traditional MapReduce, particularly for iterative algorithms. Key features of Spark include in-memory data distribution, efficient data loss recovery, and support for multiple programming languages, with APIs for both low-level and high-level data manipulation. The document also outlines the essential components of Spark, such as SparkContext and the main steps for processing Resilient Distributed Datasets (RDDs
- Author
- Rohit Pasumarty
- Language
- EN