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InsideBIGDATA Guide to Data Analytics in Government

This guide provides an in-depth overview of the use of data analytics technology in the public sector. Focus is given to how data analytics is being used in the government setting with a number of high-profile use case examples. Download this InsideBIGDATA guide to data analytics in government.

insideBIGDATA Guide to Use of Big Data on an Industrial Scale

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.

insideBIGDATA Guide to Artificial Intelligence & Deep Learning

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.

Putting Data Science in Production

This guide is designed to help your organization find the common ground needed to empower your Data Science and IT Teams to work together for the benefit of your data projects as a whole.

The 5 Key Challenges to Building a Successful Data Science Lab & Data Team

This 21 page ebook will teach you how to address, avoid, and fix the main challenges that come up in Data Science Laboratory Environments.

Advanced Analytics, The Modern Marketer’s Best Friend

Download our free white paper to get a global understanding of how analytics are shaking up marketing and what you can do about that!

From Small to Big Data, Adopting the Advanced Analytics Mindset

Going from small to big data requires understanding the new mindset. In 9 steps, this guide book can help you with that.

The GridGain In-Memory Data Grid

This white paper provides an overview of in-memory computing technology with a focus on in-memory data grids. It discusses the advantages and uses of in-memory data grids and introduces the GridGain In-Memory Data Fabric. Finally, it presents a deep dive on the capabilities of the GridGain solution. To learn more download this white paper.

Cask Hydrator: Self Service Data Lakes on Hadoop

The Cask Hydrator empowers organizations to blend, transform, and analyze data across multiple sources to create an on-demand analytical view across key customer interactions. This provides powerful insights into buyers, brand performance, products, and services.