The availability of big data analytical tools for use in cardiovascular practice and research will grow rapidly Big data analytical applications, such as predictive models for patient risk and ...

We are fortunate to live in an exciting time where multiple technological leaps are occurring. Specifically, I am thinking of the mobile industry transition from 4G to 5G, and the cross-industry IT ...

One of the critical decisions facing companies embarking on big data projects is which database to use, and often that decision swings between SQL and NoSQL. SQL has the impressive track record, the ...

Gone are the days when marketing decisions were guided by intuition and experience. Important marketing decisions are now determined by big data. This refers to the study and application of big, ...

Unravel Data, provider of a full-stack performance intelligence platform for optimizing Big Data operations (DataOps [1]), emerged from stealth, announcing a new platform to accelerate Big Data ...

An industry-supported online school provides a good grounding in the science and application of very large datasets. A virtual school, developed by a team of leading software and hardware companies, ...

You can’t separate successful mobile application development from either data or analytics. Consumers demand immediate insight into their “mobile moments” -- exact points in time where context and ...

The South Korean government has nearly quadrupled its investment in the biological big data sector over the past few years as ...

Data storage is inexpensive—you can store a terabyte of data on a disk costing $50 or less. But reading that disk end-to-end could take six hours, according to Matei Zaharia, an assistant ...

Predicting and acting upon financial fraud is one of the prime areas of application of advanced big data techniques like machine learning (ML). Earlier this week, a case of money laundering known as ...

The primary focus of the General Data Protection Regulation (GDPR) framework is on protecting the rights of individuals to privacy, without compromising their personal data stored by state ...