Data Engineer Session-13 : Pyspark Architecture скачать в хорошем качестве

Data Engineer Session-13 : Pyspark Architecture

🚀 Apache PySpark Architecture & RDD Operations Explained | Spark Core Tutorial for Beginners In this video, you’ll learn Apache PySpark architecture and understand how RDD (Resilient Distributed Dataset) operations work in Apache Spark. This step-by-step tutorial covers Spark core concepts, transformations, actions, and how distributed processing works in a big data environment. Perfect for beginners and aspiring data engineers. ✅ Topics covered in this video: • Overview of Apache Spark architecture • Driver, Executor, Cluster Manager explained • How PySpark works internally • What is RDD in Spark? • RDD transformations (map, flatMap, filter, reduceByKey) • RDD actions (collect, count, take, saveAsTextFile) • Lazy evaluation concept • DAG and job execution flow • Real-time examples of RDD operations Apache PySpark is widely used for large-scale data processing, machine learning, and real-time analytics. Understanding Spark architecture and RDD operations is essential for mastering distributed computing and cracking big data interviews. 📌 Don’t forget to LIKE 👍, SHARE 🔁, and SUBSCRIBE 🔔 for more tutorials on PySpark, Apache Spark, Hadoop, Big Data, Data Engineering, and Machine Learning. #PySpark #ApacheSpark #SparkArchitecture #RDD #SparkRDD #BigData #DataEngineering #SparkTutorial #DistributedComputing #SparkCore