What's the best solution to the looming shortage of data scientists, those high priests of analytics who glean meaning from big data? One option is to build big data applications that automate many ...

First developed to make applications easier to deploy, manage and scale, container technologies nonetheless have seen limited use in big data systems due to earlier struggles managing application ...

"Big data for the masses" is a popular rallying cry among people who see the complexity of Hadoop and related tools as an impediment to a data-driven nirvana. A recent Wikibon survey of big data ...

Docker containers in Kubernetes clusters give IT teams a new framework for deploying big data systems, making it easier to spin up additional infrastructure for handling new data sources. These ...

In today's modern business environment, data is the foundation of efficient business operations. Organizations generate and collect large amounts of information from various sources such as social ...

Data has taken a new position in the spotlight as the most important part of using AI. If the organization is using corrupt data, insights will vary wildly, and misinformation can damage the company’s ...