BIG DATA WITH HADOOP AND SPARK: Analyze Massive Datasets with Apache Hadoop, Spark, and NoSQL

Dive deep into the world of Big Data with Big Data with Hadoop and Spark. This guide demystifies complex topics, from foundational Hadoop architecture and HDFS to real-time processing with Apache Spark. Explore MapReduce, YARN, and Spark’s Resilient Distributed Datasets (RDDs), and gain hands-on knowledge with Spark Streaming, MLlib, and GraphX. Designed for data professionals, engineers, and tech enthusiasts, this book covers data security, troubleshooting, performance optimization, and Big Data strategy, giving readers the skills to handle high-velocity data and transform it into actionable insights. With real-world applications and case studies from retail, social media, healthcare, and finance, this book is the ultimate field guide to Big Data mastery.