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+++
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title = "Apache Kafka - Nishant Garg"
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date = 2017-07-05
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[taxonomies]
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tags = ["books", "nishant garg", "reviews", "it", "big data", "1 star"]
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+++
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[GoodReads Summary](https://www.goodreads.com/book/show/18702022-apache-kafka):
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The book will follow a step-by-step tutorial approach which will show the
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readers how to use Apache Kafka for messaging from scratch.Apache Kafka is for
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readers with software development experience, but no prior exposure to Apache
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Kafka or similar technologies is assumed. This book is also for enterprise
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application developers and big data enthusiasts who have worked with other
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publisher-subscriber based systems and now want to explore Apache Kafka as a
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futuristic scalable solution. (less)
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<!-- more -->
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{{ stars(stars=1) }}
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After reading the book, I ended up with more questions than I had when I started reading:
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1. What Kafka is good for?
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2. What are the use cases for Kafka?
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3. When I should NOT use Kafka?
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4. How Kafka compares to other options?
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5. What is a topic?
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6. How to create a pipeline to process information, in a way that I have multiple lines of processing?
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Not only the book goes straight to "You install this way, you write a simple
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app, and that's it", it uses some very terse phrases, which makes really hard
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to read. Things like "This, at times, leads to redevelopment of information
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producers or consumers to provide an integration point between them", which is
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terse but has absolutely no information at all. There is even an introduction
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to Hadoop as "Resource sharing, stability, availability, and scalability are a
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few of the many challenges of distributed computing. Nowadays, an additional
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challenge is to process extremely large volumes of data in TBs or PBs." --
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which says absolutely NOTHING about what Hadoop is and how it works.
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Again, if you want to know *less* about Kafka, that's a good book for it.
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