The explosion of new types of data in great volumes from many different sources that has come to be known as big data has resulted in a false premise that lurks on the sidelines of many discussions.

Businesses are struggling with the rapidly increasing volume, speed and variety of information being generated today – what's come to be known as big data. Companies are seeking technologies that not ...

As businesses realize the importance of big data, adoption is on the rise. A recent survey from NewVantage Partners found that 62.5% of firms now have at least one big data project in production. But ...

Businesses and organizations have long used business reporting and data analytics on a tactical basis, answering such questions as “just what were sales in Wisconsin in 2021?” But in recent years big ...

The big data world is changing in ways never seen before, particularly when it comes to bringing data together and into situations where it can be actionable for the business. The challenge faced by ...

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 ...

Big data refers to the massive volume of information that cannot be easily processed or analyzed using traditional methods, such as using standard databases and software. Big data comes from many ...

Public schools nationwide are taking a cue from business, harnessing big data to improve student outcomes, help school districts make better hiring decisions and help governments use their education ...

Build and maintain a distributed system, practicing software engineering fundamentals; test first development, refactoring, continuous integration, and continuous delivery. Write custom performance ...

The use of big data in social media can be a game changer if you have the ability to design consumer preferences that will attract clients and lead to sales. There are several ways you can apply big ...

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 ...