Seduced by the Big Data meme: Hadoop vs the Public Cloud
Currently, Cloudera is in the news for all the wrong reasons(Cloudera stock down 42%) Since Cloudera now also incorporates Hortonworks – the current issues are just the...
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Five Top Big Data Certifications for 2019
“Information is the oil of 21st century and analytics is the combustion engine” ~ Gartner Big data is the new oil and there’s no denying to this fact. In certain ...
DSC Webinar Series: Some Great Ways to Visualize Survey Data (and Virtually any Type of Data)
Steve Wexler’s datarevelations.com website is one of the premier resources for visualizing survey data with Tableau. As Steve points out on the site, the number one imp...
DSC Webinar Series: Migrating R Applications to the Cloud using Databricks
R, along with Python, is the most popular language among enterprise data scientists. The R ecosystem includes thousands of packages for statistical analysis and machine l...
How Web scraping and Big Data Analytics can be used to impact the Media and Entertainment industry
Every industry in the world is moving towards data-driven decision making, then one of the most popular and highest grossing industries definitely has employed analytic...
How Fog Computing is changing the BigData paradigm for IoT device?
The new era of BigData and advances in technology have made significant transitions towards the high functionality of IoT devices. The popularity of IoT devices has led t...
Automation Eliminates Expensive Data Entry Errors
Organizations rarely regard data entry as a key strategic operation. In spite of the rise in automation, companies across the world rely on manual data entry for procurem...
Executive Mandate #1: Become Value Driven, Not Data Driven
I hate it when I hear senior executives state that they want to become data-driven, as if somehow having data is value in of itself. Now, one can hardly blame the unenl...
Applications of Data Analytics
I am presenting at the upcoming NISS (National Institute of Statistical Sciences) webinar on September 27. This was my first employer in US, back in 1996. I was then comp...
Explore the Best Paths to Becoming a Great Data Scientist
Aren’t all good data scientists’ great data scientists? As much as we’d like to think good data scientists to be great data scientists, it isn’t. No doubt good da...