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Tsukuba.R #7 ã§è©±ã—ã¦ããŸ âˆ’ã€Œãƒ‡ãƒ¼ã‚¿ãƒžã‚¤ãƒ‹ãƒ³ã‚°+WEB å‹‰å¼·ä¼šï¼ æ±äº¬âˆ’è“„ç©ãƒ‡ãƒ¼ã‚¿ã®æœ‰åŠ¹æ´»ç”¨âˆ’ã€ - hamadakoichi blog

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Scalability of the Hadoop Distributed File System (Hadoop and Distributed Computing at Yahoo!)

The bottom line is that we achieved the target in Petabytes and got close to the target in the number of files. But this is done with a smaller number of nodes and the need to support a workload close to 100,000 clients has not yet materialized. The question now is whether the goals are feasible with the current system architecture. Namespace Limitations HDFS is based on an architecture where the

restartr 2010/05/12

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Last.fm â€“ the Blog Â· Closing in on clean metadata: artist and track spelling auto-correction is here

Ever since I joined Last.fm back in 2005, my long-suffering coworkers have had to put up with endless grumbles about the state of the metadata on our music catalogue pages and how we desperately needed tools for putting things right. Well, as of today they can all breathe a collective sigh of relief: Last.fm now automatically corrects common misspellings of artist and track names for you. As you m

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Simple Parallel Computing in R Using Hadoop

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Cloudera Blog

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Hive, PIG, hadoop benchmark results

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2010å¹´5æœˆ12æ—¥ã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (8ä»¶)

Tsukuba.R #7 ã§è©±ã—ã¦ããŸ âˆ’ã€Œãƒ‡ãƒ¼ã‚¿ãƒžã‚¤ãƒ‹ãƒ³ã‚°+WEB å‹‰å¼·ä¼šï¼ æ±äº¬âˆ’è“„ç©ãƒ‡ãƒ¼ã‚¿ã®æœ‰åŠ¹æ´»ç”¨âˆ’ã€ - hamadakoichi blog

Scalability of the Hadoop Distributed File System (Hadoop and Distributed Computing at Yahoo!)

Last.fm â€“ the Blog Â· Closing in on clean metadata: artist and track spelling auto-correction is here

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Simple Parallel Computing in R Using Hadoop

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Hive, PIG, hadoop benchmark results

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