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...
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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...
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...
Data Science Graphs (without the code!)
If you read my blog then you’ll probably realize there are a few data related topics that I could talk about for days. This blog dives into a tool called RAW Gra...
Transforming Quantitative Data to Qualitative Data
The two main data types in business are nominal (categorical or qualitative data) and interval data (quantitative or continuous data). Nominal data are just categories o...
IotC Webinar Series: Scalable IoT, In-Database Computing
Internet of Things (IoT) data is exploding, driven in part by the adoption of connected home technologies such as smart thermostats. While the adoption of connected home ...
Python Data Science Handbook- An essential handbook for Python enthusiasts
This article was written by Prakarsh Saxena. In a world where each of us is surrounded by data and its insights, Data Science does seem a promising field of work and r...