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

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

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

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

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,

Psychological research requires a lot of testing, and a lot of surveys. When relying on surveys, there is a necessary assumption that the subject can be trusted, and that they are answering factually rather than guessing or feeling. Much of the reporting around depression is based entirely on these surveys.

NASA is often on the front end of tech trends. They are constantly coming out with new tools, releasing incredible footage and data, and even support open source communities. Given how much information they can and often need to receive from their space equipment, it is no surprise that they

The rise of Big Data, and the industry’s IoT craze, are driving huge demand for streaming data analytics. There’s an impediment though: streaming data is hard to work with. 2016 will heighten the demand, and also the tension around the difficulty. It may also force a solution. In the big-data

Brands utilising big data are cultivating an ‘insight economy’ where every business move is mapped out with pinpoint accuracy thanks to the internet of things (objects that send and receive data) building a connected world. Businesses are leaping at the chance to embrace ‘cognitive computing’, a process where coding, tools

MDM still has the potential to meet many critical needs in this data-rich environment, but only if it can keep up with changing times. Let’s start with the obvious: We’re already drowning in data, and it just keeps coming. We need to gather, store, collate and analyze it, because we