Data Science
While the field of data science is not tied directly to Big Data, advances in one tends to produce advances in the other. Big Data increases our ability to harvest and process data, while data science allows us to dig into it for insights.

Three Unexpected Uses for 3D Printing in Big Data
The future of 3D printing is heavily reliant on the power of data. The Internet of Things means users will be able to access and print files remotely, as well as create incredible scans and share prints. But, there are also several more opportunities for big data and 3D printing

WAIT – Is this person even a data scientist?
Finding and hiring a top-notch data scientist is a tough endeavor. The distinct skill set at the intersection of mathematics, statistics, information technology and business is rare to find and suitable candidates are well aware of their market value. Salary expectations well beyond $100,000 dollars are the new normal. Nevertheless,

RegTech: The 2016 Buzzword Is Turning Heads
FinTech is disrupting the banking world—and bringing consumers along for the ride. Of course, such a major shift in policies and the way companies do business is bound to have equally powerful effects on legislature. Regulations have been strict since 2008, and many US banks have been hit with huge

How to Use Cohort Data to Analyze User Behavior
In the world of data analysis, one tool is often left unused. While being a very powerful analytics tool, cohorts are often pushed aside due to their seemingly complex nature. With a lot to offer in the way of data analysis, let’s take a deeper (yet simplified) look into cohorts.

Can Big Data From Wearables Help Us Sleep Better?
Wearables continue to be a hugely popular item across different age groups and even continents. They track steps and sleep cycles, but just how valuable is that information? In reality, this data is only partially useful for the wearer. Without big data to decipher what is more or less healthy,

Cockroaches, Bees, Crickets and Big Data may just save lives
Since the 1700’s people have been studying insects and in the past decade, more research has been popping up on how insects are used in data science applications – and frankly, it’s pretty cool. From creating an alternative food source to city planning,insects and data go hand in hand in

3 Reasons Why In-Hadoop Analytics are a Big Deal
Recent technology advances within the Apache Hadoop ecosystem have provided a big boost to Hadoop’s viability as an analytics environment—above and beyond just being a good place to store data. Leveraging these advances, new technologies now support SQL on Hadoop, making in-cluster analytics of data in Hadoop a reality. This

5 Actionable Insights to Make You Stand Out in Data Science
In 2009, Hal Varian (Google’s Chief Economist) famously joked that “the sexiest job in the next 10 years will be Statistics”. Fast forward to 2016, and it’s abundantly clear that he was right (and how!) $118,709 – the average salary for a Data Scientist today (according to Glassdoor). Compare that

Can Big Data Help Us Travel Better?
There are hundreds of hotel booking sites online. They all have their own method of matching customers with options. There are basic options, like how many bedrooms for less than $200, and users will still end up searching through several pages before finding the right offer. Generic offers and bad

3 Key Factors to Migrate Your Database to the Cloud
At a blistering pace and for a variety of reasons, companies are migrating their on-premise database infrastructures to cloud-based solutions—to save costs on hardware, tame the impact of disaster recovery or even to improve security. As the missing pieces of the Cloud continue to be identified and put into place,