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
January 9, 2017 by Leave a Comment
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
January 9, 2017 by Leave a Comment
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
October 13, 2016 by Leave a Comment
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
October 10, 2016 by Leave a Comment
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
September 28, 2016 by Leave a Comment
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
September 27, 2016 by Leave a Comment
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 […]
insideAI News Guide to Healthcare & Life Sciences
September 20, 2016 by Leave a Comment
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 insideAI News guide.
How To Scale Business Intelligence With Hadoop- Based Platforms
September 19, 2016 by Leave a Comment
Analyzing big data poses multiple challenges. Highly parallel distributed data architecture is one solution, but until recently it has been mostly limited to databases, not business intelligence (BI) application servers. In this report, application development and delivery (AD&D) pros working on BI initiatives will learn about the capabilities of distributed BI platforms mostly based on […]
2016 Data Science Salary Survey
September 12, 2016 by Leave a Comment
In this fourth edition of the O’Reilly Data Science Salary Survey, the input was analyzed from 983 respondents working in the data space, across a variety of industries— representing 45 countries and 45 US states.
