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Raja Iqbal

Recent Posts

Type I and Type II Error, Smoke Detector and the Boy Who Cried Wolf

Posted by Raja Iqbal on Oct 5, 2013 10:00:38 AM

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Topics: A/B Testing, Big Data

Big data talent war: 7 ways to win

Posted by Raja Iqbal on Apr 16, 2013 12:28:37 AM

53% of big data-focused companies say analytics experts will be tough to find for the next two years. Here’s how IT leaders plan to train, borrow, or steal talent–and what job seekers should know.

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Topics: Careers, Careers in Data science

Predictive analytics adoption triples, says Accenture

Posted by Raja Iqbal on Apr 12, 2013 10:25:21 AM

Chief data officers are rising to the leadership of business analytics programmes in the UK and US more quickly than expected, according to an Accenture study that surveyed the field for the first time since 2009.

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Topics: Predictive Analytics, Big Data

How-to: Resample from a large data set in parallel (with R on Hadoop)

Posted by Raja Iqbal on Apr 5, 2013 10:37:11 AM

Reposted from Cloudera blog.

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Topics: R, Big Data, Hadoop

10 R packages I wish I knew about earlier

Posted by Raja Iqbal on Mar 31, 2013 10:51:11 AM

I started using R about 3 years ago. It was slow going at first. R had tricky and less intuitive syntax than languages I was used to, and it took a while to get accustomed to the nuances. It wasn’t immediately clear to me that the power of the language was bound up with the community and the diverse packages available.

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Topics: R, Big Data

Big data could cripple Facebook

Posted by Raja Iqbal on Mar 31, 2013 10:46:21 AM

So there’s this startup called SmogFarm, which does big-data sentiment analysis, “pulse of the planet” stuff. I spotted them last year, and now they’ve got an actual product with an actual business model up and running in private beta:KredStreet, “The Social Stock Trader Rankings,” which performs sentiment analysis on StockTwits data and a sampling of the Twitter firehose to determine traders’ overall bullish/bearish feeling. They also compare reality against past sentiment to score and rank traders based on their accuracy, which is more interesting.

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Topics: Facebook, Big Data