Python and Big Data Processing: Practical Applications of Spark and PySpark 1. Introduction: Technical Choices in the Era of Big Data With the exponential growth of data volume, traditional single-machine data processing methods can no longer meet the demand. Big data processing faces challenges in storage, computation, analysis, and visualization. Among various big data frameworks, … Read more
Hello everyone, today I want to introduce a powerful Python library – PySpark! In this era of big data, ordinary Python may struggle to handle large-scale data, but PySpark allows us to elegantly process terabytes of data. It is the Python interface for Apache Spark, inheriting Spark’s distributed computing capabilities, enabling us to handle massive … Read more
Author: Raja Sekar Translator: Aladdin Editor: Cai Fangfang The author, Raja Sekar, has over three years of experience using Spark. He believes that Spark’s DataFrame is excellent and can solve most analytical workload problems, but there are still some scenarios where using RDD is more convenient. Thus, he conceived the idea of re-implementing Spark using … Read more