Five Big Mistakes to Avoid while Using Big Data
Trying to figure out how you can employ Big Data to grow your business? Make sure you’re not jumping onto the Big Data bandwagon unprepared. The best of technologies an...
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9 Key Benefits of Data Lake
A Data Lake has flexible definition, to make this statement true the dataottam team took initiative and released a eBook called “The Collective Definition of Data Lake ...
How a Digital Transformation Can Improve Customer Experience with Big Data
Guest blog post by Ronald van Loon. Do you know what your customers want when they visit your website? And do you know what makes them bounce away to visit another sit...
MUMPS – The Most Important Database You (Probably) Never Heard Of
Summary: What if I told you there’s a database in wide use today that does everything RDBMS and Hadoop can do but is 50 years old? Never heard of MUMPS? Check out...
Spurious correlations: 15 examples
Sometimes a correlation means absolutely nothing, and is purely accidental (especially when you compute millions of correlations among thousands of variables) or it can ...
Prediction – the other dismal science?
An insightful person once said, “Prediction is like driving your car forward by looking only at the rearview mirror!”. If the road is dead-straight, you are good . . ...
BIG Data & Analytics, Data Science, Machine Learning – Random Insights!
#1: What really is BIG Data? Today, we can store and process so much data that we have nearly captured reality; no more sampling biases/ errors or related issues – ...
The misanthrope’s vain struggle with big data
Thousands of companies today declare they plan to invest in big data, sometimes with legitimate reasons. They want to hire scientists, invest in infrastructure, revolutio...
Julia Programming Language Tutorials
Julia is a high-level dynamic programming language designed to address the requirements of high-performance numerical and scientific computing. It has been discussed as o...
What is Predictive Analytics?
Regardless of your level of experience with data, you need to know about predictive analytics. This type of analytics involves sifting through existing data to see if t...