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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Konstantin I. Boudnik. Tuesday, May 5, 2015. 30 time faster Hadoop MapReduce application with Bigtop and Ingite. Did you ever wonder how you can deploy Hadoop stack quickly? Or what can be done to speed up that slow MapReduce job? Look no further - with Apache Bigtop. Incubating) gives you that option out of the box with its Hadoop Accelerator. RC (Hadoop 2.6, Ignite 1.0, etc.) Enjoy. Links to this post.

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Konstantin I. Boudnik. Tuesday, May 5, 2015. 30 time faster Hadoop MapReduce application with Bigtop and Ingite. Did you ever wonder how you can deploy Hadoop stack quickly? Or what can be done to speed up that slow MapReduce job? Look no further - with Apache Bigtop. Incubating) gives you that option out of the box with its Hadoop Accelerator. RC (Hadoop 2.6, Ignite 1.0, etc.) Enjoy. Links to this post.

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On tech-n-stuff | drcos.boudnik.org Reviews

https://drcos.boudnik.org

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Konstantin I. Boudnik. Tuesday, May 5, 2015. 30 time faster Hadoop MapReduce application with Bigtop and Ingite. Did you ever wonder how you can deploy Hadoop stack quickly? Or what can be done to speed up that slow MapReduce job? Look no further - with Apache Bigtop. Incubating) gives you that option out of the box with its Hadoop Accelerator. RC (Hadoop 2.6, Ignite 1.0, etc.) Enjoy. Links to this post.

INTERNAL PAGES

drcos.boudnik.org

1

On tech-n-stuff: July 2014

http://drcos.boudnik.org/2014_07_01_archive.html

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Konstantin I. Boudnik. Monday, July 7, 2014. Mark Twain and data science. When I look at data science nowadays it reminds of. In the space of one hundred and seventy-six years the Mississippi has. Shortened itself two hundred and forty-two miles. Therefore . in the Old. I don't know why. Links to this post. Subscribe to: Posts (Atom). Mark Twain and data science. The bank killed me".

2

On tech-n-stuff: May 2015

http://drcos.boudnik.org/2015_05_01_archive.html

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Konstantin I. Boudnik. Tuesday, May 5, 2015. 30 time faster Hadoop MapReduce application with Bigtop and Ingite. Did you ever wonder how you can deploy Hadoop stack quickly? Or what can be done to speed up that slow MapReduce job? Look no further - with Apache Bigtop. Incubating) gives you that option out of the box with its Hadoop Accelerator. RC (Hadoop 2.6, Ignite 1.0, etc.) Enjoy. Links to this post.

3

On tech-n-stuff: December 2013

http://drcos.boudnik.org/2013_12_01_archive.html

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Konstantin I. Boudnik. Sunday, December 29, 2013. The best thing to do if you have ASUS 700t. Here's all I've literally done:. Get Titanium backup from the Play Store. I can't more highly recommend Pro version as it makes backups and especially restores a breeze. Back you applications and user data. While not required, I've used an external sd card for that - not the embeded device storage. Now the fir...

4

On tech-n-stuff: How to mount RAID1 volume on Ubuntu

http://drcos.boudnik.org/2014/12/how-to-mount-raid1-volume-on-ubuntu.html

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Konstantin I. Boudnik. Monday, December 22, 2014. How to mount RAID1 volume on Ubuntu. If you ever need to mount an encrypted partition from a RAID1 NAS on your Ubuntu system (like a laptop or a different server) here's a simple three steps instruction. Figure out what partition needs to be mounted (you can do it by running parted. Sudo mdadm - assemble - run /dev/md0 /dev/sdd2. The bank killed me".

5

On tech-n-stuff: Apache Ignite vs Apache Spark

http://drcos.boudnik.org/2015/04/apache-ignite-vs-apache-spark.html

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Konstantin I. Boudnik. Tuesday, April 28, 2015. Apache Ignite vs Apache Spark. Complimentary to my earlier post on Apache Ignite in-memory file-system and caching. Capabilities I would like to cover the main differentiation points of the Ignite and Spark. I see questions like this coming up repeatedly. It is easier to have them answered, so you don't need to fish around the Net for the answers. Spill-o...

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oilphaunts.blogspot.com

Following the Elephant: Querying Hive, the "Microsoft Way"

http://oilphaunts.blogspot.com/2014/06/querying-hive-microsoft-way.html

Monday, June 9, 2014. Querying Hive, the "Microsoft Way". Apache Hive is an abstraction tool for generation of MapReduce jobs in Hadoop, and a lightweight data warehousing tool providing schema on read capabilities. And storage of metadata in its metastore. By default, it is stored in MySQL. In Microsoft Azure HDInsight, it is stored in Azure SQL. Microsoft has LINQtoHive support through the Hadoop SDK. Or those developers who enjoy using LINQ as an abstraction to their data. And try it out! Var result =...

oilphaunts.blogspot.com

Following the Elephant: June 2015

http://oilphaunts.blogspot.com/2015_06_01_archive.html

Wednesday, June 24, 2015. Garbage In, Garbage In, Garbage In. Many projects in the Apache ecosystem run Java. One of the places developers spend time in when dealing with performance issues is the Java Virtual Machine's (JVM) Garbage Collection options. When the heap becomes full, garbage is collected. In NET 4.6 RC,. Enhancements to garbage collection (GC). Class now includes TryStartNoGCRegion. Methods that allow you to disallow garbage collection during the execution of a critical path. At this point,...

oilphaunts.blogspot.com

Following the Elephant: Engine Noise and the Internet of Things

http://oilphaunts.blogspot.com/2015/08/engine-noise-and-internet-of-things.html

Monday, August 17, 2015. Engine Noise and the Internet of Things. According to a recent blog post by Stephen Few, Data Visualization Guru, "The exponential growth in raw data that we’re experiencing is mostly producing noise.". I used to be a car audiophile of sorts. It was mainly about the highest tweets and lowest subs. Surprisingly my hearing didn't get permanently damaged, though I did crack a windshield and shake off my rear view mirror a few times. I still have one of these. According to the study,...

oilphaunts.blogspot.com

Following the Elephant: August 2015

http://oilphaunts.blogspot.com/2015_08_01_archive.html

Monday, August 17, 2015. Engine Noise and the Internet of Things. According to a recent blog post by Stephen Few, Data Visualization Guru, "The exponential growth in raw data that we’re experiencing is mostly producing noise.". I used to be a car audiophile of sorts. It was mainly about the highest tweets and lowest subs. Surprisingly my hearing didn't get permanently damaged, though I did crack a windshield and shake off my rear view mirror a few times. I still have one of these. According to the study,...

oilphaunts.blogspot.com

Following the Elephant: Garbage In, Garbage In, Garbage In

http://oilphaunts.blogspot.com/2015/06/garbage-in-garbage-in-garbage-in.html

Wednesday, June 24, 2015. Garbage In, Garbage In, Garbage In. Many projects in the Apache ecosystem run Java. One of the places developers spend time in when dealing with performance issues is the Java Virtual Machine's (JVM) Garbage Collection options. When the heap becomes full, garbage is collected. In NET 4.6 RC,. Enhancements to garbage collection (GC). Class now includes TryStartNoGCRegion. Methods that allow you to disallow garbage collection during the execution of a critical path. At this point,...

oilphaunts.blogspot.com

Following the Elephant: May 2015

http://oilphaunts.blogspot.com/2015_05_01_archive.html

Wednesday, May 6, 2015. Amazing, comprehensive article around relational, NoSQL, and many other approaches to reading and writing information. Http:/ www.benstopford.com/2015/04/28/elements-of-scale-composing-and-scaling-data-platforms/. If a relational database can't solve a specific problem efficiently and timely, perhaps throwing the kitchen sink, or data platform at it could. Subscribe to: Posts (Atom). Following Hadoop, Pig and Hive, the Big Data Ecosystem and the Internet of Things. Well, ever sinc...

oilphaunts.blogspot.com

Following the Elephant: Elements of Scale

http://oilphaunts.blogspot.com/2015/05/elements-of-scale.html

Wednesday, May 6, 2015. Amazing, comprehensive article around relational, NoSQL, and many other approaches to reading and writing information. Http:/ www.benstopford.com/2015/04/28/elements-of-scale-composing-and-scaling-data-platforms/. If a relational database can't solve a specific problem efficiently and timely, perhaps throwing the kitchen sink, or data platform at it could. Subscribe to: Post Comments (Atom). Following Hadoop, Pig and Hive, the Big Data Ecosystem and the Internet of Things. Well, e...

oilphaunts.blogspot.com

Following the Elephant: Presentations from the Apache Accumulo Summit 2014

http://oilphaunts.blogspot.com/2014/06/presentations-from-apache-accumulo.html

Monday, June 23, 2014. Presentations from the Apache Accumulo Summit 2014. Up to 10 quadrillion entries in a single table". That's 10,000,000,000,000,000 rows. Sounds like a limitation to me. Presentations from the Accumulo Summit. Accumulo is the Apache implementation of Google BigTable. http:/ www.slideshare.net/AccumuloSummit. Information on Hawq and the Accumulo Connector, Ambari, Slider, YARN, TinkerPop, etc. The TinkerPop stack with Blueprints. Ketrina Yim, TinkerPop stack. WoW = 1.3 PB. How long d...

oilphaunts.blogspot.com

Following the Elephant: Hadoop'able Materialized Views

http://oilphaunts.blogspot.com/2014/06/hadoopable-materialized-views.html

Friday, June 20, 2014. The smart teams working on Apache Optiq are promoting in-memory, discardable, materialized views as a potential source of performance improvements when dealing with large distributed datasets in Hadoop. Why not use up all that memory sitting in your Hadoop cluster? A presentation on DMMQ here. Http:/ www.slideshare.net/julianhyde/discardable-inmemory-materialized-queries-with-hadoop. The DMMQ blog at Hortonworks. The DDM blog at Hortonworks. Subscribe to: Post Comments (Atom).

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On tech-n-stuff

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Konstantin I. Boudnik. Tuesday, May 5, 2015. 30 time faster Hadoop MapReduce application with Bigtop and Ingite. Did you ever wonder how you can deploy Hadoop stack quickly? Or what can be done to speed up that slow MapReduce job? Look no further - with Apache Bigtop. Incubating) gives you that option out of the box with its Hadoop Accelerator. RC (Hadoop 2.6, Ignite 1.0, etc.) Enjoy. Links to this post.

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