Guide to Big data Hadoop Distributed File System (APACHE SQOOP, APACHE FLUME, APACHE KAFKA)

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?In this practical and comprehensive guide, author Kartikeya Mishra helps you navigate this diverse landscape by examining the pros and cons of various technologies like Apache Sqoop, Apache Flume, Apache Kafka in Hadoop Distributed File System(HDFS) in Big Data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectivelyMake informed decisions by identifying the strengths and weaknesses of different toolsNavigate the trade-offs around consistency, scalability, fault tolerance, and complexityUnderstand the distributed systems tool Apache Sqoop, Apache Kafka, Apache Flume in Big Data research upon which modern databases are builtPeek behind the scenes of major online services, and learn from their architecture