News
Big Data Terminology Everyone Should Know
Bernard Marr recently shared the 22 key Big Data terms that everyone should know in an article on SmartData Collective. Click here to read the complete list of terms ranging from algorithm to NoSQL.
Finding Revenue in the Big Data Business
Steve Lohr of The New York Times recently explored the topic of revenue in the Big Data market. According to Lohr, the business of data science takes “agility and patience.” Read the complete article titled, “In Big Data, Shepherding Comes First.”
Free Big Data Sources
Best-selling author Bernard Marr wrote an article on LinkedIn on some of the best, free Big Data sources available today. These sources include Data.gov, the U.S. Census Bureau and the CIA World Factbook, among others. View the complete list here. To see more sources of large data sets, which are open to the public, click […]
Improving Manufacturing with Data Analytics
McKinsey & Company published a piece on how manufacturers are utilizing data analytics to reduce process flaws to ultimately save time and money. Read the complete article written by Eric Auschitzky, Markus Hammer and Agesan Rajagopaul.
The Cloud’s Impact on Big Data
David Cohen of The Wall Street Journal recently wrote an article titled, “Weekend Read: Big Data Is Changing and It’s the Cloud’s Fault.” The article is focused on the how the shift to the cloud is fundamentally changing the nature of Big Data. Click here to read how.
The Necessary Skills for a Career in Data Analytics
Bernard Marr wrote an article for LinkedIn titled, “Big Data: The Key Skills Businesses Need.” The article identified the six key skills an individual should have if they are considering a career in the data analytics industry. Read the complete article here.
Network Security and Big Data
A recent article from ComputerWorld explored network security and how Big Data can be used to detect cyber-attacks. Click here to read the complete article written by Ahmed Banafa.
The Future of Big Data
A recent blog by Tracey Wallace on Truth in Data examined how the Big Data industry has changed over time and proposes a projected path about what is to come in the future. Click here to read the complete blog post.