You have a big data project ... While it’s great for data analysis, it’s less good at more general purposes. You’d construct a model in R, but you would consider translating the model ...

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 ...

Compare, measure, and test big data models for production use. Write custom performance tests to measure the characteristics of a distributed system. Use queues to horizontally distribute large ...

It’s everywhere. Deep learning needs big data, and now we have it. Contrary to popular belief, more data does not always mean better results. However, deep learning models absolutely thrive on big ...

the Oracle big data analytics platform also lets data scientists build and deploy machine learning models that leverage programming languages such as Python.

Big Data analytics requirements have forced a huge shift in ... of large and complex datasets across clusters of computers (called nodes) using easy programming models. The framework is designed to ...