Java and Big Data – a Collaborative Odyssey

Embark on a transformative journey as we harness the power of Java to navigate the vast landscape of big data. In this chapter, we’ll explore how Java’s proficiency in distributed computing, coupled with its robust ecosystem of tools and frameworks, empowers you to tackle the complexities of processing, storing, and extracting insights from massive datasets. As we delve into the world of big data, we’ll showcase how Apache Hadoop and Apache Spark seamlessly integrate with Java to overcome the limitations of conventional methods.

Throughout this chapter, you’ll gain hands-on experience in building scalable data processing pipelines, using Java alongside the Hadoop and Spark frameworks. We’ll explore Hadoop’s core components, such as Hadoop Distributed File System (HDFS) and MapReduce, and dive deep into Apache Spark, focusing on its primary abstractions, including Resilient Distributed Datasets...