Guide to Big data Hadoop Distributed File System (APACHE SQOOP, APACHE FLUME, APACHE KAFKA): A book for beginners/intermediate

by Kartikeya Mishra

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 effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems tool Apache Sqoop, Apache Kafka, Apache Flume in Big Data research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures

29 pages, Kindle Edition

Published January 24, 2020

Reviews

[shailendra · Rating 5 out of 5]

Good guide for kafka

I am new to kafka but Finding this book extremely helpful in understanding kafka and big data concept.
Recommending anyone who want to learn kafka

[dilip · Rating 5 out of 5]

Good read for professionals

Well written,Good read for professionals to get overview of big data tools and techniques. Worth Reading and getting overall view