shmsoft.blogspot.com
SHMsoft blog: October 2014
http://shmsoft.blogspot.com/2014_10_01_archive.html
Hadoop, Big Data, Spark - and some eDiscovery. Monday, October 27, 2014. Big Data Cartoon: Big Data needs big muscle. Inspired possibly by this cartoon in New Yorker. Our illustrator has set out to tell us that being in Big Data, you travel a lot, and of course avail yourself of the exercise facilities found in each and every hotel. My latest was a packed gym in downtown San Francisco. Lately, I've been noticing that trainers at Elephant Scale have been gaining muscle weight. Links to this post.
shmsoft.blogspot.com
SHMsoft blog: Big Data Cartoons - Summer of Big Data
http://shmsoft.blogspot.com/2015/07/big-data-cartoons-summer-of-big-data.html
Hadoop, Big Data, Spark - and some eDiscovery. Friday, July 3, 2015. Big Data Cartoons - Summer of Big Data. Since nothing much happens in Big Data in the summer (JK:), our artist took to making pictures of the breakfasts that an artist needs. Here are some examples. Once this page is visited by more than a million people, it itself will qualify for a "Big Data" page. Subscribe to: Post Comments (Atom). FreeEed - Open source eDiscovery. Review of “Monitoring Hadoop” by Gurmukh Singh.
shmsoft.blogspot.com
SHMsoft blog: September 2014
http://shmsoft.blogspot.com/2014_09_01_archive.html
Hadoop, Big Data, Spark - and some eDiscovery. Tuesday, September 30, 2014. Got an Ubuntu laptop! Quite powerful and good-looking, from System76. (It is the one in the middle). Now I have a chance to be productive while traveling or working in friends' place. I am planning to add Windows in a VM, stay tuned. Links to this post. Sunday, September 7, 2014. Big Data Cartoon: NY is new Silicon Valley. Silicon Valley, pay attention! Links to this post. Subscribe to: Posts (Atom). Got an Ubuntu laptop!
shmsoft.blogspot.com
SHMsoft blog: February 2015
http://shmsoft.blogspot.com/2015_02_01_archive.html
Hadoop, Big Data, Spark - and some eDiscovery. Tuesday, February 24, 2015. Big Data Cartoon - What's with Pivotal? Last week, Pivotal joined its forces with its former rival, Hortonworks. Announcing that they will form a join Hadoop Core platform. In my understanding, Pivotal is giving up its own distribution of Hadoop in favor of Hortonworks Data Platform. However, Yevgeniy Sverglik on DataCentralKnowledge. Links to this post. Monday, February 23, 2015. FreeEed technologies led to DARPA project. But the...
shmsoft.blogspot.com
SHMsoft blog: Joe Witt of Onyara presented Apache NiFi
http://shmsoft.blogspot.com/2015/06/joe-witt-of-onyara-presented-apache-nifi.html
Hadoop, Big Data, Spark - and some eDiscovery. Wednesday, June 10, 2015. Joe Witt of Onyara presented Apache NiFi. Joe Witt and the team of Onyara came to present Apache Nifi at Houston Hadoop Meetup. The NiFi project is the result of eight years of development at NSA, which has been open sourced in November of 2014. The project is for automating enterprise dataflows, and its salient use cases are. Data Processing (enrichment, filtering, sanitization). For the rest, in the words of Shakespeare.
shmsoft.blogspot.com
SHMsoft blog: July 2015
http://shmsoft.blogspot.com/2015_07_01_archive.html
Hadoop, Big Data, Spark - and some eDiscovery. Wednesday, July 22, 2015. Review of “Monitoring Hadoop” by Gurmukh Singh. Is recently published, April 2015, and it covers Nagios, Ganglia, Hadoop monitoring and monitoring best practices. The same goes for Ganglia: it is covered in sufficient detail for one to be able to install and run, with enough attention to Hadoop specifics. What I did not find in the book, and what could be useful. to read further. Links to this post. Links to this post. By itself, GA...
shmsoft.blogspot.com
SHMsoft blog: November 2014
http://shmsoft.blogspot.com/2014_11_01_archive.html
Hadoop, Big Data, Spark - and some eDiscovery. Wednesday, November 26, 2014. Big Data Cartoon - What is text analytics? Analytics may be the next big thing in Big Data, but it is very hard to define what it really is. Firstly, this word shows as misspelled in the browser and in Word or OpenOffice. Secondly, it's too vague and nebulous. As always, when in doubt, we turn to our illustrator, and our RK can illuminate us with a simple to understand cartoon that even data scientists can get. Links to this post.
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SHMsoft.com - Home
http://shmsoft.com/shmsoft-hadoop-illuminated-pr-media.html
SHMsoft, Inc. Adds Review Capabilities to its Open Source eDiscovery Software FreeEed. September 29, 2013, Houston. A leader in open source software for eDiscovery, is pleased to announce the latest additions to its FreeEed. FreeEed is completely open source under business-friendly Apache 2.0 license. It is based on Hadoop, the de-facto standard for Big Data back-end technologies, and works with all major Hadoop distributions. The work is underway to have it certified on HortonWorks HDP. Being that FreeE...
shmsoft.blogspot.com
SHMsoft blog: April 2015
http://shmsoft.blogspot.com/2015_04_01_archive.html
Hadoop, Big Data, Spark - and some eDiscovery. Wednesday, April 29, 2015. I am a reviewer on "Real-time Analytics with Storm and Cassandra". Create your own data processing topology and implement it in various real-time scenarios using Storm and Cassandra. Build highly available and linearly scalable applications using Storm and Cassandra that will process voluminous data at lightning speed. A pragmatic and example-oriented guide to implement various applications built with Storm and Cassandra. Install C...
shmsoft.blogspot.com
SHMsoft blog: January 2015
http://shmsoft.blogspot.com/2015_01_01_archive.html
Hadoop, Big Data, Spark - and some eDiscovery. Tuesday, January 27, 2015. Here is a fitting illustration for the post by Sujee Maniyam on " Understanding Spark Caching. Links to this post. Sunday, January 18, 2015. Readers would be pleased to know that we have teamed up with Packt Publishing to organize a Giveaway of our book HBase Design Patterns. Lucky winners stand a chance to win e-copy of the book. Keep reading to find out how you can be one of the Lucky One. It’s that simple. Links to this post.
