Python Vs R : The Eternal Question for Data Scientists
Python and R are the two most commonly used languages for data science today. They are both fully open source products and completely free to use and modify as required ...
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Harnessing the power of data to transform asset-intensive value chains
In the twentieth century, oil was the most valuable resource – but not anymore. In today’s digital age data is the new oil. It will play a similar, perhaps bigger rol...
ff and Too-Big-for-Memory Data in R — Part III
After my last blog on the use of relational databases PostgreSQL and MonetDB to help compensate for R’s RAM limitations, I received an email from a reader who ask...
Why choose Apache Spark over Hadoop for your Big Data project?
When the first release of Spark became available in 2014, Hadoop had already enjoyed several years of growth since 2009 onwards in the commercial space. Although Hadoop s...
Data Translators: Those Who Ensure Analysis Is Not Lost In Rendition
A few days ago, while discussing with colleagues why many organizations were still fumbling at what’s typically called the “last mile” in data science, the conversa...
Technology has to follow your data strategy
Knowledge is power With IDC estimating that the data mountain has now reached five zettabytes, it is not a case of a business not having enough data to make business deci...
DSC Webinar Series: Data Viz: Painting a Truthful Point of View
We all know that Data does not lie. However, when we create visualizations we may at times “stretch the truth.” This is often done to help others realize the true sto...
DSC Webinar Series: Matei Zaharia’s Predictions for 2018: Big Data and AI Highlights
Over the past few years, AI and big data have powered numerous technologies that have changed the way we live, from autonomous cars to conversational systems to personali...
The one critical skill many data scientists are missing
This article was written by Emma Walker. Emma is a data scientist at Qriously. When I started to learn about data science and consider it as a career choice, there was a...
Sophisticated data strategies call for better analytical features and language diversity
As we move into 2018, Analytical Data Infrastructure (ADI) is becoming a significant topic in business intelligence and analytics. Where Big Data was once an over-hyped, ...