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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.

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.

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.

In-Memory Computing: Leading the Fast Data Revolution

In this white paper you will learn more about the aspects of in-memory computing in more detail and describe how the society of the future will depend on the capabilities it provides. Over the next few years, in-memory computing technology will be an integral part of changes that are dramatically transforming the world.

Architecting for Access: Simplifying Analytics on Big Data Infrastructure

Whether you’re upgrading your current solution or rolling out a brand new platform, planning and executing an analytics workload today requires answering many tough questions.
This eBook from O’Reilly shares:
• How to choose between a data lake or analysis on the fly
• Tips on finding front-end tools that delight users
• Evaluations of hundreds of permutations of technology stacks
• Advice on how to make data your endgame, not opinion

Predictive maintenance: How data can increase production

Predictive maintenance involves gathering targeted data for analysis, the results of which will help anticipate potential failures before they occur. Companies opt for this type of maintenance to avoid predictable incidents and repair equipment, assembly lines, or machinery with minimum impact on their operations. “Having to repair a faulty product is disastrous for a manufacturer’s brand image. But shutting down […]

Apache Spark Survey 2016 Report

More than 1,600 members of the Apache Spark community from over 900 organizations have spoken, and Spark continues to be the most active open-source project in the big data space today. The 2016 Databricks Apache Spark Survey shows a rise in production deployments of Spark in the public cloud, as well as an increased usage […]

InsideBIGDATA Guide to Healthcare & Life Sciences

This technology guide provides an overview of the utilization of big data technologies as an emerging discipline in healthcare and life sciences. It explores the characteristics of this business strategy and the benefits of leveraging big data technologies within these sectors. It also touches on the challenges and future directions of big data and analytics in the healthcare and life sciences industries. To learn more download this insideBIGDATA guide.