Customer Analytics (48%), Operational Analytics (21%), Fraud and Compliance (12%) New Product & Service Innovation (10%) & Enterprise Data Warehouse Optimization (10%) are among the most popular big ...

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 ...

Today’s “big data stack” includes databases, data management and integration software, and data analytics tools—all critical components of an effective operational or analytical data system. But all ...

Big data analytics--the process of examining massive data sets containing a variety of data types to uncover hidden patterns, correlations and other strategic business and operational information--is ...

Robert Kirkpatrick is Director of UN Global Pulse, an innovation initiative of the Secretary-General on big data and artificial intelligence. Felicia Vacarelu is the Communications Officer of UN ...

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 ...

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 ...

More than 400 million terabytes of digital data are generated every day, according to market researcher Statista, including data created, captured, copied and consumed worldwide. By 2028 the total ...