Big data is less predictable than traditional data, and therefore requires special consideration when building models. Here are some things to keep in mind. Image: iStock/z_wei Data modeling is a ...

Regardless of what data model(s) you choose to bring into your company’s data strategy, it’s important to have the right people and processes in place to make these models work. Hiring a big ...

Big data is new and “ginormous” and scary –very, very scary. No, wait. Big data is just another name for the same old data marketers have always used, and it’s not all that big, and it’s ...

Models can also decay through a process known as concept drift. A best practice is to save the model state and do incremental learning as more data is collected. Get more data and continuously improve ...

If you want to find out how Big Data is helping to make the world a better place, there’s no better example than the uses being found for it in healthcare. The last decade has seen huge advances ...

They understand data modeling, ... They must be articulate, persuasive, and good salespeople, and they must conceive and portray the big data picture to others. Data architect certifications.

There’s data, and then there’s big data. So, what’s the difference? Big data defined. A clear big data definition can be difficult to pin down because big data can cover a multitude of use ...

1. Empower all employees through data. Central business teams will no longer "own" software and be responsible for disseminating insights to the other departments; the time lag can hurt a business.

The need to cleanse and normalize dirty and inconsistent data often consumes the lion’s share of the resources devoted to big data analytics and AI endeavors. Many millions have been spent devising ...