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Thoughts on Database, Data Science, and Software engineering. Sunday, April 20, 2014. Hype wheel Spins again! It looks like the major Hadoop vendors are battling it out for mind share in the Big Data community. The major announcement from Hortonworks for their next round of funding. Followed by the major announcement that Intel. Was dropping their distro and backing Cloudera with $740M for an 18% stake. The only player not jumping into the media blitz is MapR. This latest announcement from Arun Murthy's.

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Terminus | theseldonvault.blogspot.com Reviews

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Thoughts on Database, Data Science, and Software engineering. Sunday, April 20, 2014. Hype wheel Spins again! It looks like the major Hadoop vendors are battling it out for mind share in the Big Data community. The major announcement from Hortonworks for their next round of funding. Followed by the major announcement that Intel. Was dropping their distro and backing Cloudera with $740M for an 18% stake. The only player not jumping into the media blitz is MapR. This latest announcement from Arun Murthy's.

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1 terminus

2 hadoop distributions

3 which version

4 of hadoop

5 well mapr

6 bunnyworks

7 caveat

8 emptor

9 posted by

10 dave winters

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Terminus | theseldonvault.blogspot.com Reviews

https://theseldonvault.blogspot.com

Thoughts on Database, Data Science, and Software engineering. Sunday, April 20, 2014. Hype wheel Spins again! It looks like the major Hadoop vendors are battling it out for mind share in the Big Data community. The major announcement from Hortonworks for their next round of funding. Followed by the major announcement that Intel. Was dropping their distro and backing Cloudera with $740M for an 18% stake. The only player not jumping into the media blitz is MapR. This latest announcement from Arun Murthy's.

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theseldonvault.blogspot.com

1

Terminus: October 2012

http://theseldonvault.blogspot.com/2012_10_01_archive.html

Thoughts on Database, Data Science, and Software engineering. Sunday, October 14, 2012. Big Piles Of Data - Facebook, LinkedIN etc. I've had the chance to work onsite at Facebook for a few weeks with their BI group doing a POC for Informatica's ETL tools against their platforms. Some of the mottos stenciled everywhere are: "Move fast and break things! They typically show up at 10am and work until . its gets done! What does the data mean? The scale that they work on is LARGE. How large? The main HDFS is p...

2

Terminus: December 2012

http://theseldonvault.blogspot.com/2012_12_01_archive.html

Thoughts on Database, Data Science, and Software engineering. Wednesday, December 5, 2012. Big Data ETL Patterns and Architectures. Cases listed here are not necessarily distinct and there is overlap between approaches. Combinations and hybrids are definitely probable. 1 - Unknown Source and Target Schema, evolving metadata. Traditional ETL to/from RDBMS and flat-file sources have assumed that target schema, source data format, and organization of data (usually by row) was fixed and known. And requires h...

3

Terminus: Simple way to get 30% better HDFS read perfromance

http://theseldonvault.blogspot.com/2013/08/simple-way-to-get-30-better-hdfs-read.html

Thoughts on Database, Data Science, and Software engineering. Tuesday, August 27, 2013. Simple way to get 30% better HDFS read perfromance. Working with a high speed cluster this week doing some benchmarks. I had assumed that the vendor engineering team was sharp enough to have set up the SLES 11 system with best practices. After spending about 30 minutes looking it over it dawned on me to check the file system. Issued a 'mount' command and didn't see the 'noatime' flag set. So I added the noatime.

4

Terminus: November 2009

http://theseldonvault.blogspot.com/2009_11_01_archive.html

Thoughts on Database, Data Science, and Software engineering. Tuesday, November 24, 2009. Old error checking still in use. @ ERROR. SQL 2000 error checking with @ ERROR and @ ROWCOUNT is still in use in many applications. Even with the advent of SQL 2005's TRY-CATCH feature you may still find this in old T-SQL or it might be the best fit for some applications. BUT make sure you understand how this works and fix those older legacy TSQL constructs that may have problems. Insert db record(key1, table code).

5

Terminus: June 2010

http://theseldonvault.blogspot.com/2010_06_01_archive.html

Thoughts on Database, Data Science, and Software engineering. Friday, June 4, 2010. VoltDB, the newest database idea? The new database without a problem to solve…. On the whole- the presentation was very effective in putting a lot of the FUD from NoSQL pundits to rest. Yes, if your application is purely a K-V(key value) type of data application, then NoSQL products like Cassandra may be exactly what you need. But how many applications are purely and narrowly confined to K-V data models? Michael gave a pr...

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theseldonvault.blogspot.com

Terminus

Thoughts on Database, Data Science, and Software engineering. Sunday, April 20, 2014. Hype wheel Spins again! It looks like the major Hadoop vendors are battling it out for mind share in the Big Data community. The major announcement from Hortonworks for their next round of funding. Followed by the major announcement that Intel. Was dropping their distro and backing Cloudera with $740M for an 18% stake. The only player not jumping into the media blitz is MapR. This latest announcement from Arun Murthy's.

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