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Our Engineering, Practices and Research in Big Data.
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Our Engineering, Practices and Research in Big Data.
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Big Data Engineering, Practices and Research: Hanborq Improved Hadoop MapReduce
http://cloudepr.blogspot.com/2012/03/hanborq-improved-hadoop-mapreduce.html
Big Data Engineering, Practices and Research. Our Engineering, Practices and Research in Big Data. Friday, March 16, 2012. Hanborq Improved Hadoop MapReduce. Open Source: https:/ github.com/hanborq/hadoop. New JVM processes for each job/task,. But instead start these. Slot/worker processes at initialization phase and keep them. Many aggregation job need not sort. Here is our presentation: Hanborq Optimizations on Hadoop MapReduce. Hanborq optimizations on hadoop map reduce 20120221a. The Testbed: 5 node ...
Big Data Engineering, Practices and Research: January 2010
http://cloudepr.blogspot.com/2010_01_01_archive.html
Big Data Engineering, Practices and Research. Our Engineering, Practices and Research in Big Data. Wednesday, January 6, 2010. Jeff Dean and Sanjay Ghemawat's good advices on MapReduce. Jeffrey Dean and Sanjay Ghemawat Reply Stonebrake. I'd like to put a copy here, since this paper[1] matchs my opinions so much on MapReduce model and the pratices about large-dataset management/processing implementations. Except for the five witchcrafts which Google exposed in following papers:. Distributed Systems): http...
Big Data Engineering, Practices and Research: Hadoop is a tool that still needs work.
http://cloudepr.blogspot.com/2012/03/hadoop-is-tool-that-still-needs-work.html
Big Data Engineering, Practices and Research. Our Engineering, Practices and Research in Big Data. Friday, March 16, 2012. Hadoop is a tool that still needs work. Cloudera wants to tackle Hadoop the way RedHat tackled Linux - offer support, services, and additional around it. I think it may be too early, it may be the reason why Bisciglia(Wibidata,Ex-googler) and Srivas(MapR,Ex-googler) left Cloudera. Maybe Googlers know clearer of the gaps. Http:/ www.wired.com/. July 24, 2014 at 7:14 PM. VMWare course ...
Big Data Engineering, Practices and Research: March 2012
http://cloudepr.blogspot.com/2012_03_01_archive.html
Big Data Engineering, Practices and Research. Our Engineering, Practices and Research in Big Data. Monday, March 26, 2012. This is a study of Megastore, but not include Pasox replication. Learning from google megastore (Part-1). Friday, March 16, 2012. Hanborq Improved Hadoop MapReduce. Open Source: https:/ github.com/hanborq/hadoop. New JVM processes for each job/task,. But instead start these. Slot/worker processes at initialization phase and keep them. Many aggregation job need not sort. HDH delivers ...
Big Data Engineering, Practices and Research: October 2011
http://cloudepr.blogspot.com/2011_10_01_archive.html
Big Data Engineering, Practices and Research. Our Engineering, Practices and Research in Big Data. Saturday, October 29, 2011. Snappy and the compressed format. Google snappy: A fast compressor/decompressor. Snappy compressor works in 32KB blocks and does not do matching across blocks, it will never produce a bitstream with offsets larger than about 32768. However, the decompressor should not rely on this, as it may change in the future. 3 Snappy is a LZ77-type compressor. Subscribe to: Posts (Atom).
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Hadoop at Twitter (part 1): Splittable LZO Compression - Cloudera Engineering Blog
http://blog.cloudera.com/blog/2009/11/hadoop-at-twitter-part-1-splittable-lzo-compression
Skip to main content. Best practices, how-tos, use cases, and internals from Cloudera Engineering and the community. Hadoop at Twitter (part 1): Splittable LZO Compression. November 17, 2009. This summer I sent the following tweet, “ Had lunch today at Twitter HQ. Thanks for the invite, @ kevinweil. Great lunch conversation. Smart, friendly and fun team.”. We’re currently running Hadoop 0.20.1 with Pig 0.4. In this first of a small series of posts about our architecture a...160; Using LZO compressi...
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Big Data Engineering, Practices and Research
Big Data Engineering, Practices and Research. Our Engineering, Practices and Research in Big Data. Monday, March 26, 2012. This is a study of Megastore, but not include Pasox replication. Learning from google megastore (Part-1). Friday, March 16, 2012. Hanborq Improved Hadoop MapReduce. Open Source: https:/ github.com/hanborq/hadoop. New JVM processes for each job/task,. But instead start these. Slot/worker processes at initialization phase and keep them. Many aggregation job need not sort. HDH delivers ...
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