Once the data has been captured, how can the cloud, containers, and a data fabric combine to build the infrastructure to provide the business insights? Paul Curtis explores three customer deployments that leverage the best of the private clouds and containers to provide a flexible big data environment.

Data science and analytics departments are now common place for enterprises determined to maximize their operations. While Jupyter Notebooks have significantly decreased the cost of admission into this space, enterprises are finding that data science at scale is difficult within the current framework. Jupyter Enterprise Gateway is designed to address these scalability issues for the enterprise.

Seth Stephens-Davidowitz explains how to use Google searches to uncover behaviors or attitudes that may be hidden from traditional surveys, such as racism, sexuality, child abuse, and abortion.