Forbes contributors publish independent expert analyses and insights. Gil Press writes about technology, entrepreneurs and innovation. In January 2019, perennially unprofitable Hortonworks closed an ...

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 ...

One implication of ubiquitous sensing as evidenced by the rapid growth of the Internet-of-Things (IoT) is the explosive increase in data being collected. This data comes from myriad sources: According ...

AI and analytics systems need data – lots of it. CRN’s annual Big Data 100 takes a look at the developers of data analysis tools, database systems, data management software and other technologies in ...

Big data refers to extremely large and complex data sets that are so massive and intricate they cannot be managed or analyzed by traditional data processing tools. In life sciences, these vast ...

With more and more use cases for AI and all its branches taking shape, big data is surging in relevance as the backbone of these projects—prompting DBAs, IT, data scientists, and more to take a closer ...