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Jumat, 20 Januari 2012 -
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Ebook Free , by Acodemy
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, by Acodemy
Ebook Free , by Acodemy
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Product details
File Size: 3452 KB
Print Length: 137 pages
Page Numbers Source ISBN: 1515358690
Simultaneous Device Usage: Unlimited
Publication Date: August 4, 2015
Language: English
ASIN: B013GQP702
Text-to-Speech:
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Amazon Best Sellers Rank:
#823,458 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
This is the first kindle book I've returned. There aren't that many books on Spark yet, so when I saw a new one for only $1 on Kindle, I figured it was worth a shot. And there were tons of good reviews, so what could go wrong?I have no idea who is writing these good reviews (probably the author's friends), but first of all, there was not only an absolute lack of editing, but there wasn't even spell checking. I knew this couldn't be professionally published, so I looked up the publisher, and sure enough it was produced by a self-serve publishing service. That explains it. The author sounds like he speaks English as a second language, which is fine, but he really should have had an English-speaking editor. The quality of the code snippets were lousy too: fuzzy and pixelated even when viewing on a PC.Some will be thinking that I am nitpicking on the editing, language, and presentation. Unfortunately, they weren't the major problem. There is not a lot of useful information in here. The author does seem to know a lot about the subject, but the information in the book seems like spurts of random, disconnected ideas. Early in the book he says let's get our hands dirty and install Spark, but his "instructions" are just to go to an unspecified website of a distribution, download it and install it. No specifics where exactly to download it from or which product in particular. Yes, I was able to google it, but then what do I need the book for? And that installation didn't lead to anything, as there were really no tutorials beyond starting a console. The rest of the book got worse, and I found myself thinking that I could get better information just by reading the free documentation.I think the content is better suited to a blog that can be accessed for free. Even $1 felt like I wasted my money, so I returned it and will buy the O'Reilly book instead.
Written in a slapped-together style. It appears as though the author and editors speak English as a second language or something. I frequently found myself guessing about the intended meanings of phrases, sentences, even paragraphs, and I have over 30 years of experience reading computer science texts. The material presented is poorly organized and fairly useless as a reference guide. And in several places the author goes off into lengthy praises of Spark's capabilities without detailing what they are. I truly feel as though I wasted my money on this book (even at that $3.99), not to mention the hours spent reading it.This is the first time I have disagreed so completely with the majority of Amazon user reviews of a book, leading me to wonder whether many of the positive "reviews" might just be attempts to game the system. Rereading them now, many sound like they were invented by drawing from a common list of phrases and keywords, and some of their praise would be over the top we even for a genuinely excellent book. Shame on me for not reading the critical reviews before buying, even when they were outnumbered 15:1.
It took about 30 minutes to conclude that I could have been that much further along in a methodical, well edited book. Unprofessional typos and a lot of rambling. You pruned me out of time and money, and with any luck others will read this review and avoid the trap.
Everyday something new is coming in computer technology. Apache Spark is an open source framework for big data analysis, It also enables the users to optimize data processing pipelines by supporting lazy evaluation. This book is only for the persons from the computer technology field. This is a beginners guide and will help the persons a lot who wants to learn about this topic.
I was hoping to get a quick overview of Spark from this book but was extremely disappointed. The author clearly does not know how to write in English or perhaps in any other another language at that. It is redundant and practically useless as a guide to leaning Spark. I will be returning it.Why does Amazon even offer such poor quality books?
This is an exceptional book by Acodemy. I am totally new to this subject and have got some knowledge about the SPARK. The book is straight forward & to the point. The book makes it easy to understand the concept, terms etc... the way it presents the information. It teaches you how to set up SPARK Cluster and topics like streaming and Machine learning are very interesting. Also you will introduced to various Spark components, API, clustering features, streaming, Spark SQL. At the end of each chapter, you will be given some assignments for practice. Everything is perfect with this book. If you want to learn SPARK in a day, this is the book for you. Excellent book on SPARK.
Spark is one of the most amazing programming languages I have encountered as it handles large data, which is a very relevant and popular concept at this present time. This is a good book for those who want to learn Spark, as the title suggests. I love how the discussion on the basic concepts on every chapter is detailed yet easy to learn. This is a book worth looking into.To have access on information of on one of the more relevant programs in research and industry of today, this book is a gift.Again, read this book. I highly recommend it.
Companies that handle large data files need Spark to aid them in handling and organizing. They have engineers that would set it up, though at first its a bit challenge but once it runs it goes smoothly. At the beginning the author explain what Spark is all about, the set up process and its pros and cons, majority of engineers knows it. Facebook, Twitter, Google are just few companies mention in the book who experience shut down from minutes to hours and somewhat loses billions of dollars just to fix those errors on data. Recommended for companies.
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