Apache Kafka
| Author | : | |
| Rating | : | 4.97 (565 Votes) |
| Asin | : | 1782167935 |
| Format Type | : | paperback |
| Number of Pages | : | 88 Pages |
| Publish Date | : | 2013-12-21 |
| Language | : | English |
DESCRIPTION:
Not worth it Runpu Sun The book provides nothing more than tutorial resources you can easily get from online. The code contains obvious mistakes (e.g. multi-threading consumer part). Totally not worth the price, considering the book has only 88 pages, including those error code and copy-paste diagrams.. L. Hall said I wanted to learn Kafka, this book helped get me started; but the wiki is better for my needs.. The content information is outdated and is missing critical information.Specifically, the "create topic" script command used in the book no longer works. There is no clear explanation of some important concepts which I was hoping to get from this book. I was disappointed to find that there is no explanation for the reasoning behind the use of topic partitions: what they are for, how they work, and strategies for performance and reliability.Also, a good deal of text is given to some trivial Java examples, which leads me to wonder who the intended audience is: managers or developers. The book starts off with rational. "Do not buy this book" according to Surge. If I could give it zero star, I would. This book is a simple tutorial style book that does not even explain some basic concepts in Kafka such as partition well. The sampe such as multipethread consumer example is not working. It creates an exector for threadpool, but never use it in the subsequent codes. Also some explanation of the parameter does not make sense.For example, in the book there is such explanationzookeeper.session.timeout.ms: This property specifies ZooKeeper session timeout in milliseconds.Well, it simply connects all these words together in the parameters together, but reader still does not know wh
This book explains how Kafka basic blocks like producers, brokers, and consumers actually work and fit together. Such solutions deal with real-time volumes of information and route it to multiple consumers without letting information producers know who the final consumers are.Apache Kafka is a practical, hands-on guide providing you with a series of step-by-step practical implementations, which will help you take advantage of the real power behind Kafka, and give you a strong grounding for using it in your publisher-subscriber based architectures.Apache Kafka takes you through a number of clear, practical implementations that will help you to take advantage of the power of Apache Kafka, quickly and painlessly. Apache Kafka is the platform that handles real-time data feeds with a high-throughput, and this book is all you need to harness its power, quickly and painlessly. You will learn everything you need to know for setting up Kafka clusters. This book is also for enterprise application developers and big data enthusiasts who have worked with other publisher-subscriber based systems and now want to explore Apache Kafka as a futuristic scalable solution.. A step by step tutorial with a practical approach.OverviewWrite custom producers and consumers wi
He has also undertaken many speaking engagements on Big Data technologies. About the AuthorNishant Garg Nishant Garg is a Technical Architect with more than 13 years' experience in various technologies such as Java Enterprise Edition, Spring, Hibernate, Hadoop, Hive, Flume, Sqoop, Oozie, Spark, Kafka, Storm, Mahout, and Solr/Lucene; NoSQL databases such as MongoDB, CouchDB, HBase and Cassandra, and MPP Databases such as GreenPlum and Vertica. Ltd.Nishant has enjoyed working with recognizable names in IT services and
He has also undertaken many speaking engagements on Big Data technologies. Nishant Garg Nishant Garg is a Technical Architect with more than 13 years' experience in various technologies such as Java Enterprise Edition, Spring, Hibernate, Hadoop, Hive, Flume, Sqoop, Oozie, Spark, Kafka, Storm, Mahout, and Solr/Lucene; NoSQL databases such as MongoDB, CouchDB, HBase and Cassandra, and MPP Databases such as GreenPlum and Vertica. in Software Systems from Birla Institute of Technology and Sc