In this document, our focus is on “industrializing” big data infrastructure—bringing operational maturity to the Hadoop data ecosystem, making it easier and cost-effective to deploy at enterprise scale, and moving companies from the proof of concept stage into production-ready deployments. Download this Guide to Big Data on an Industrial Scale to learn more.
In this guide we explain the difference between AI, machine learning and deep learning, and includes highlights of the insideBIGDATA audience survey. To learn more about AI and deep learning download this guide.
Going from small to big data requires understanding the new mindset. In 9 steps, this guide book can help you with that.
Contributed by Daniel D. Gutierrez, Managing Editor of insideBIGDATA, this is the first article in a series focusing on a technology that is rising in importance to enterprise use of big data – IoT Analytics, or the analytical component of the Internet-of-Things. In this first segment, we’ll set the stage for our discussion by providing an overview of the Internet-of-Things. The Internet of Things (IoT) is an emerging theme with wide technical, social, and economic significance. Consumer products, durable goods, automobiles, industrial equipment, utilities, various sensors, and other everyday devices are being combined with Internet connectivity and powerful analytics capabilities that promise to be transformative in terms of the way we live, work, and play.
In this new insideBIGDATA Guide to Retail, the goal is directed toward line of business leaders in conjunction with enterprise technologists with a focus on the above opportunities for retailers and how Dell can help them get started. The guide also will serve as a resource for retailers that are farther along the big data path and have more advanced technology requirements.
This article is the first in a series that explores a high-level view of how the retail industry has been influenced by big data technologies.
As the primary facilitator of data science and big data, machine learning has garnered much interest by a broad range of industries as a way to increase value of enterprise data assets. In this article series we’ll examine the principles underlying machine learning based on the R statistical environment.