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Programming Pig (Englisch) Taschenbuch – 2. November 2011

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Alan Gates, a member of Yahoo's Pig development team, is responsible for company's implementation of the language, including programming interfaces and the overall design. He has presented Pig at numerous conferences and user groups, universities, and at companies using Pig. Alan oversaw the rewriting of nearly the entire code base when Pig moved from a research project to a production project.

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Amazon.com: 16 Rezensionen
16 von 17 Kunden fanden die folgende Rezension hilfreich
Lacks Editorial Oversight 27. März 2013
Von ts - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
The book presents an advanced introduction to PIG. Its a book by an insider for insiders and not an introduction to PIG itself. You may end up producing code to run through some data, but may not necessarily gain any understanding.

The book reads like a blog. Beyond spell check, it has no editorial oversight whatsover. the content order is adhoc it goes from one topic to another without any apparent continuity. for example, right after a cursory introduction to Map Reduce and PIG, the discussion goes into an arcane details of commandline and flag settings without any context.

the book covers a whole lot of concepts, but the introduction of these concepts itself is weak. For example, projections are introduced as something PIG has in common with SQL.

book itself is -2 stars. -1 for amazon's kindle & oreilly. the publishing quality in this book is horrible. the code fonts smaller than main text, uneven spacing etc. default settings on freely available web publishing softwares produces better content than what amazon and orielly have produced here.
2 von 2 Kunden fanden die folgende Rezension hilfreich
Just OK 17. September 2013
Von Siddhardha - Veröffentlicht auf Amazon.com
Format: Taschenbuch
The company I was working for started using Big Data technologies recently and we were all expected to come up to speed quickly. For PIG, this is the only book I could find. Luckily it's available on Safari, so I didn't have to buy it myself (I didn't feel that the content justified the cost of purchasing this book). You can find a good chunk of the content in this book in online blogs, tutorials, and wikis, but it helped to have this book by my side when we were working on a project since all the relevant information is in a single location. Some of the information in this book is outdated. For instance, it talks about Boolean data type not being supported but the recent versions of PIG do, so be sure to refer to PIG docs from time to time to make sure you have the latest information. PIG is a relatively immature framework - the authors admit this to a certain extent in the book by mentioning that much of the tuning/optimization effort is outsourced to the user (unlike databases which make an effort to optimize queries). This book includes some insights into how to tune for performance (e.g: what types of JOINs to use and when, writing UDFs for performance) which is certainly helpful but the general tone is along the lines "here are somethings to look for but you need to test and find what works best yourself" - in other words, comprehensive examples illustrating the concepts are missing. Like a lot of other books, some typos exist in this book although it's not too hard to figure out. A basic understanding of hadoop is necessary to use this book but a solid foundation for hadoop is not necessarily required (although it helps a lot). All in all, if you are looking for a single place to refer to for PIG related docs, get this book.
1 von 1 Kunden fanden die folgende Rezension hilfreich
Could Have Been Better 17. April 2014
Von Big Data Paramedic - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
PIG is a powerful programming tool for big data, yet it is simple to write. I got the book to help myself to PIG programming and the book does help with it. If you are new to PIG programming, you will find it useful.

I was disappointed that the book only has a cursory reference to piggybank.jar which is a big plus for PIG, and that too at the end with no real examples about it. Also there are tons of PIG examples on the internet which pretty much walk through many scenarios much better than this book .

This is a quick reference book, not a PIG Bible
1 von 1 Kunden fanden die folgende Rezension hilfreich
Mediocre primer. 7. August 2014
Von AOL Jack - Veröffentlicht auf Amazon.com
Format: Kindle Edition Verifizierter Kauf
Has some good info especially on how to extend pig functionality, but it leaves a lot to be desired as a primer on how to use pig. Most of the examples are poorly explained. To be honest I learned more about some of the thinking behind pig than I learned about how actually use pig. This book needs a new seriously upgraded edition. It only got three stars because it has no competition.
1 von 1 Kunden fanden die folgende Rezension hilfreich
Good & Comprehensive, but lacks the last bit of analytic capability I was hoping for 26. Juni 2014
Von Frank D. Evans - Veröffentlicht auf Amazon.com
Format: Kindle Edition Verifizierter Kauf
The book is written pretty well, and the examples are clear and easy to follow for the most part. The only lacking aspect in my opinion was a deeper delve into the analytic capabilities for Pig. This is minor, and may actually be a good prompt for a follow-up "Pig Cookbook". Other than that, this is a great reference and has proven very useful.
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