Big Data top paying skills

 According to kdnuggets the Big Data related skills led the list of top paying technical skills (six-figure salaries) in 2013.

The study focus on  technology professionals in the U.S. who enjoyed raises over the last year(2013).

Average U.S. tech salaries increased nearly three percent to $87,811 in 2013, up from $85,619 the previous year.Technology professionals understand they can easily find ways to grow their career in 2014, with two-thirds of respondents (65%) confident in finding a new, better position. That overwhelming confidence matched with declining salary satisfaction (54%, down from 57%) will keep tech-powered companies on edge about their retention strategies.

Companies are willing to pay hefty amounts to professionals with Big Data skills.


According to a report released on Jan 29, 2014 an average salary for a professional having knowledge and experience in programming language R was $115,531 in year 2013. 

Other Big Data oriented skills such as NoSQL, MapReduce, Cassandra, Pig, Hadoop, MongoDB are among top 10 paying skills. 

 

Source: kdnuggets

Understanding Cloudera by using its VirtualBox Demo

Cloudera is the Apache packaging solution to deploy the integrated solution including Hadoop, Sqoop, Pig, Hive, HBase, ZooKeeper, Oozie, Hume, Flume, and Whirr, The Cloudera VirtualBox Demo will bring you all this platform configured and ready to experiment with in less than 5 minutes.

Making it easy for users to experiment with these tools increases the chances for adoption.

CDH Mac OS X VirtualBox VM

 

 

How twitter uses nosql

InfoQ has released a video of Twitter‘s Kevin Weil explaining how the company uses NoSQL.

Twitter architecture mainly rely over the following products:

  • Scribe
  • Hadoop
  • Pig
  • Hbase
  • FlockDB
  • Cassandra

 

Video is available here: http://www.slideshare.net/nkallen/q-con-3770885

 

Twitter and all those data, what for ?

 

Twitter uses all the data for example, running comparisons of different types of users. Twitter analyzes data to determine whether mobile users, users who use 3rd party clients or “power users” use Twitter differently from average users. The company is also interested in determining whether certain features or occurrences “trigger” a casual usual into becoming a frequent user. For example: do people become frequent users when they start following the right people or discover the right feature?

Other questions Weil says Twitter is interested in include determining which types of tweets get retweeted the most, what types of social graph structures result in the most successful networks and how to tell the difference between humans and bots.