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Configuration for Big-Data-as-a-Service

This white paper describes a new solution for Big-Data-as-a-Service combining the BlueData EPIC (Elastic Private Instant Clusters) software platform with the HPE Elastic Platform for Big Data Analytics (EPA). BlueData is transforming how enterprises deploy their Big Data applications and infrastructure. To learn more about Big-Data-as-a-Service download this white paper.

Bare-Metal Performance for Big Data Workloads on Docker Containers

In a benchmark study, Intel compared the performance of Big Data workloads running on a bare-metal deployment versus running in Docker containers with the BlueData® EPIC™ software platform. The study found the proper software platform solves challenges that have traditionally slowed and/or stalled on-premises Big Data deployments. The benefits include agility, flexibility, and cost efficiency. It also helps eliminate the traditional barriers of complexity, and minimizes deployment time for Big Data adoption in the enterprise. Get this study to learn more about this powerful solution.

“Above the Trend Line” – Your Industry Rumor Central for 5/16/2017

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

What Maersk’s Adoption of Microsoft Azure Means for the Future of Commercial Shipping Data

In this contributed article, technology writer and blogger Kayla Matthews discussed what cloud services means for the shipping industry, and how cloud computing could change the entire industry in the future. She takes a look at Maersk, the largest shipping company in the world, to see how the company is engaging the cloud.

5 Common Myths Around Virtualizing Big Data (Number 3 is SANdalous!)

In this contributed article, Justin Murray, Technical Marketing Manager at VMware, discusses 5 common myths around virtualizing big data. Big data burst on to the scene a little over a decade ago. Today it is not an obscure term confined to just a handful of bleeding edge companies. It is a mainstream trend that every enterprise undergoing a digital transformation journey has adopted. The technology landscape around big data has broadened dramatically.

Big Data Use Case – Ticketmaster: Cloud Migration Experiences

The insideBIGDATA technology use case guide – Ticketmaster: Using the Cloud Capitalizing on Performance, Analytics, and Data to Deliver Insights provides an in-depth look at a high-profile cloud migration use case. One of the most widely discussed topics in IT today is moving workloads to cloud. The process of deciding whether or when to migrate to the cloud can be daunting. Further, finding the right technology fit for your enterprise objectives can be challenging with a cloud solution ecosystem filled with alternatives. To make the cloud adoption process more straightforward, this white paper provided a number of areas for consideration when evaluating a cloud platform.

“Above the Trend Line” – Your Industry Rumor Central for 5/8/2017

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

How to Streamline Product Development with Immersive Technology

In this contributed article, David Kung is VP Product Strategy for Oblong Industries discusses the need to innovate through Infopresence (the concept of teams being immersed in information), the challenge of new product development, how data drives every innovation decision and how competitive advantage can be restored through faster product deployment.

The Hidden Costs of Bad Data

In this contributed article, Arvind J. Singh, CEO, Chairman, and Co-Founder of Utopia, Inc., looks at how data continues to be the basis of many top decisions made by every business. By learning by the mistakes other have made in the past, we can help bad data from having a costly impact in the future.

Data Systems Strategies for Today’s Challenges

To address today’s challenges and come up with viable data systems strategies, pharmaceutical companies are looking outside the industry to leverage scientific and technical innovation in other markets.