blocks|key|3284594|text|也许你可以先阅读一些与MapReduce和分布式计算相关的文章，以更好地理解它。以下是我想推荐的一些建议：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3284595|分布式数据:大型群集上的简化数据处理，http://www.usenix.org/events/osdi04/tech/full_papers/dean/dean_html/|offset|length|3284596|Bigtable:结构化数据的分布式存储系统，http://www.usenix.org/events/osdi06/tech/chang/chang_html/|unordered-list-item|3284597|
|3284598|Dryad：|3284599|3284600|MapReduce-来自顺序构建块的并行程序，并行计算研究的前景:来自伯克利的观点，http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.67.8705&rep=rep1&type=pdf|3284601|
，http://www.usenix.org/events/osdi06/tech/chang/chang_html/|3284602|3284603|3284604|MapReduce|3284605|3284606|另一方面，如果你想更好地了解Hadoop，也许你可以开始阅读Hadoop+MapReduce框架的源代码。|3284607|entityMap|0|LINK|mutability|MUTABLE|url|http://www.usenix.org/events/osdi04/tech/full_papers/dean/dean_html/|1|http://www.usenix.org/events/osdi06/tech/chang/chang_html/|2|http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.67.8705&rep=rep1&type=pdf|3^0|0|J|1W|0|0|N|1M|1|0|0|0|0|16|2A|2|0|2|1M|3|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|1B|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|1C|8|@]|9|@$D|1D|E|1E|1|1F]]|A|$]]|$1|F|3|G|5|H|7|1G|8|@]|9|@$D|1H|E|1I|1|1J]]|A|$]]|$1|I|3|J|5|6|7|1K|8|@]|9|@]|A|$]]|$1|K|3|L|5|H|7|1L|8|@]|9|@]|A|$]]|$1|M|3|J|5|6|7|1M|8|@]|9|@]|A|$]]|$1|N|3|O|5|H|7|1N|8|@]|9|@$D|1O|E|1P|1|1Q]]|A|$]]|$1|P|3|Q|5|6|7|1R|8|@]|9|@$D|1S|E|1T|1|1U]]|A|$]]|$1|R|3|L|5|H|7|1V|8|@]|9|@]|A|$]]|$1|S|3|J|5|6|7|1W|8|@]|9|@]|A|$]]|$1|T|3|U|5|H|7|1X|8|@]|9|@]|A|$]]|$1|V|3|-4|5|6|7|1Y|8|@]|9|@]|A|$]]|$1|W|3|X|5|6|7|1Z|8|@]|9|@]|A|$]]|$1|Y|3|-4|5|6|7|20|8|@]|9|@]|A|$]]]|Z|$10|$5|11|12|13|A|$14|15]]|16|$5|11|12|13|A|$14|17]]|18|$5|11|12|13|A|$14|19]]|1A|$5|11|12|13|A|$14|17]]]]

Maybe you can read some papers related to MapReduce and distributed computing first, to gain a better understanding of it. Here are some I would like to recommand:

<ul>
<li>MapReduce: Simplified Data Processing on Large Clusters, <a href="http://www.usenix.org/events/osdi04/tech/full_papers/dean/dean_html/" rel="noreferrer">http://www.usenix.org/events/osdi04/tech/full_papers/dean/dean_html/</a></li>
<li>Bigtable: A Distributed Storage System for Structured Data, <a href="http://www.usenix.org/events/osdi06/tech/chang/chang_html/" rel="noreferrer">http://www.usenix.org/events/osdi06/tech/chang/chang_html/</a></li>
<li>Dryad: Distributed data-parallel programs from sequential building blocks, <a href="http://pdos.csail.mit.edu/6.824-2007/papers/isard-dryad.pdf" rel="noreferrer">http://pdos.csail.mit.edu/6.824-2007/papers/isard-dryad.pdf</a></li>
<li>The landscape of parallel computing research: A view from berkeley, <a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.67.8705&amp;rep=rep1&amp;type=pdf" rel="noreferrer">http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.67.8705&amp;rep=rep1&amp;type=pdf</a></li>
</ul>

On the other hand, if you want to know better of Hadoop, maybe you can start reading Hadoop MapReduce framework source code.

blocks|key|456559|text|目前，从书本上看，我会去看看-+Hadoop+A+Definitive+Guide。它是由Tom+White撰写的，他在Hadoop上工作了很长一段时间，并与Doug+Cutting+(Hadoop创建者)一起在Cloudera工作。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|456560|在自由的一面，UMD的吉米·林写了一本书，名叫：Data-Intensive+Text+Processing+with+MapReduce。这里有一个到最终试生产版本的链接(由作者在他的website上提供的链接)。|456561|entityMap|0|LINK|mutability|MUTABLE|url|https://rads.stackoverflow.com/amzn/click/com/0596521979|1|http://www.umiacs.umd.edu/~jimmylin/MapReduce-book-final.pdf|2|http://www.umiacs.umd.edu/~jimmylin/book.html^0|G|P|0|0|O|19|1|2L|7|2|0^^$0|@$1|2|3|4|5|6|7|R|8|@]|9|@$A|S|B|T|1|U]]|C|$]]|$1|D|3|E|5|6|7|V|8|@]|9|@$A|W|B|X|1|Y]|$A|Z|B|10|1|11]]|C|$]]|$1|F|3|-4|5|6|7|12|8|@]|9|@]|C|$]]]|G|$H|$5|I|J|K|C|$L|M]]|N|$5|I|J|K|C|$L|O]]|P|$5|I|J|K|C|$L|Q]]]]

Currently, bookwise I would check out - <a href="https://rads.stackoverflow.com/amzn/click/com/0596521979" rel="nofollow noreferrer" rel="nofollow noreferrer">Hadoop A Definitive Guide</a>. Its written by Tom White who has worked on Hadoop for a good while now, and works at Cloudera with Doug Cutting (Hadoop creator).

Also on the free side, Jimmy Lin from UMD has written a book called: <a href="http://www.umiacs.umd.edu/~jimmylin/MapReduce-book-final.pdf" rel="nofollow noreferrer">Data-Intensive Text Processing with MapReduce</a>. Here's a link to the final pre-production verison (link provided by the author on his <a href="http://www.umiacs.umd.edu/~jimmylin/book.html" rel="nofollow noreferrer">website</a>).

blocks|key|1876318|text|Hadoop不一定是解决所有分布式计算问题的最佳工具。尽管它的功能强大，但它也有相当陡峭的学习曲线和拥有成本。您可能想要澄清您的需求，并在Java界寻找合适的替代方案，例如HTCondor、JPPF或GridGain+(对不起，我没有提到这些)。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1876319|entityMap|0|LINK|mutability|MUTABLE|url|http://research.cs.wisc.edu/htcondor/|1|http://www.jppf.org/|2|http://www.gridgain.com/^0|2E|8|0|2N|4|1|2S|8|2|0^^$0|@$1|2|3|4|5|6|7|P|8|@]|9|@$A|Q|B|R|1|S]|$A|T|B|U|1|V]|$A|W|B|X|1|Y]]|C|$]]|$1|D|3|-4|5|6|7|Z|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]|L|$5|G|H|I|C|$J|M]]|N|$5|G|H|I|C|$J|O]]]]

Hadoop is not necessarily the best tool for all distributed computing problems. Despite its power, it also has a pretty steep learning curve and cost of ownership.
You might want to clarify your requirements and look for suitable alternatives in the Java world, such as <a href="http://research.cs.wisc.edu/htcondor/" rel="nofollow">HTCondor</a>, <a href="http://www.jppf.org" rel="nofollow">JPPF</a> or <a href="http://www.gridgain.com/" rel="nofollow">GridGain</a> (my apologies to those I do not mention).

blocks|key|1876181|text|这里有一些来自雅虎的资源！开发者网络|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1876182|教程：|1876183|http://developer.yahoo.com/hadoop/tutorial/|offset|length|1876184|入门课程(需要Siverlight，叹息)：|1876185|http://yahoo.hosted.panopto.com/CourseCast/Viewer/Default.aspx?id=281cbf37-eed1-4715-b158-0474520014e6|1876186|entityMap|0|LINK|mutability|MUTABLE|url|1^0|0|0|0|17|0|0|0|0|2U|1|0^^$0|@$1|2|3|4|5|6|7|T|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|U|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|V|8|@]|9|@$F|W|G|X|1|Y]]|A|$]]|$1|H|3|I|5|6|7|Z|8|@]|9|@]|A|$]]|$1|J|3|K|5|6|7|10|8|@]|9|@$F|11|G|12|1|13]]|A|$]]|$1|L|3|-4|5|6|7|14|8|@]|9|@]|A|$]]]|M|$N|$5|O|P|Q|A|$R|E]]|S|$5|O|P|Q|A|$R|K]]]]

Here are some resources from Yahoo! Developer Network

a tutorial:

<a href="http://developer.yahoo.com/hadoop/tutorial/" rel="nofollow noreferrer">http://developer.yahoo.com/hadoop/tutorial/</a>

an introductory course (requires Siverlight, sigh):

<a href="http://yahoo.hosted.panopto.com/CourseCast/Viewer/Default.aspx?id=281cbf37-eed1-4715-b158-0474520014e6" rel="nofollow noreferrer">http://yahoo.hosted.panopto.com/CourseCast/Viewer/Default.aspx?id=281cbf37-eed1-4715-b158-0474520014e6</a>

blocks|key|3284693|text|All+Things+Hadoop+Podcast+http://allthingshadoop.com/podcast有一些好的内容和好的客人。其中很多都是针对分布式计算的入门知识。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|3284694|entityMap|0|LINK|mutability|MUTABLE|url|http://allthingshadoop.com/podcast^0|Q|Y|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

The All Things Hadoop Podcast <a href="http://allthingshadoop.com/podcast" rel="nofollow noreferrer">http://allthingshadoop.com/podcast</a> has some good content and good guests. A lot of it is geared to getting started with Distributed Computing.

blocks|key|1204628|text|MIT+6.824是最好的东西。仅仅阅读与Hadoop相关的google论文是不够的。如果你想深入学习，系统的课程学习是必要的。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1204629|entityMap|0|LINK|mutability|MUTABLE|url|http://pdos.csail.mit.edu/6.824/^0|0|9|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

<a href="http://pdos.csail.mit.edu/6.824/" rel="nofollow">MIT 6.824</a> is the best stuff. Only reading google papers related to Hadoop is not enough. A systematic course learning is required if you want to go deeper.

blocks|key|1876355|text|如果您希望学习比Hadoop简单的分布式计算平台，可以尝试Zillabyte。您只需要了解一些Ruby或Python就可以在该平台上构建应用程序。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1876356|正如LoLo所说，Hadoop是一个强大的解决方案，但一开始可能会很粗糙。|1876357|要了解有关分布式计算的资料，请尝试http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-824-distributed-computer-systems-engineering-spring-2006/syllabus/。本课程还推荐了几个资源。|offset|length|1876358|entityMap|0|LINK|mutability|MUTABLE|url|http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-824-distributed-computer-systems-engineering-spring-2006/syllabus/^0|0|0|H|3V|0|0^^$0|@$1|2|3|4|5|6|7|P|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|Q|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|R|8|@]|9|@$F|S|G|T|1|U]]|A|$]]|$1|H|3|-4|5|6|7|V|8|@]|9|@]|A|$]]]|I|$J|$5|K|L|M|A|$N|O]]]]

If you are looking to learn a distributed computing platform that is less complicated than Hadoop you can try Zillabyte. You only need to know some Ruby or Python to build apps on the platform. 

As LoLo said, Hadoop is a powerful solution, but can be rough to start with. 

For materials to learn about distributed computing try <a href="http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-824-distributed-computer-systems-engineering-spring-2006/syllabus/" rel="nofollow">http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-824-distributed-computer-systems-engineering-spring-2006/syllabus/</a>. There are several resources recommended by the course as well.

I'm interested in learning techniques for distributed computing. As a Java developer, I'm probably willing to start with <a href="http://hadoop.apache.org/" rel="nofollow noreferrer">Hadoop</a>. Could you please recommend some books/tutorials/articles to begin with?

Where do I start with distributed computing?

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我对学习分布式计算技术很感兴趣。作为一名Java开发人员，我可能愿意从开始。你能推荐一些书/教程/文章开始吗？

问我从哪里开始分布式计算？
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