Justin Murray

Justin Murray works as a Technical Marketing Manager at VMware . Justin creates technical material and gives guidance to customers and the VMware field organization to promote the virtualization of big data workloads on VMware's vSphere platform. Justin has worked closely with VMware's partner ISVs (Independent Software Vendors) to ensure their products work well on vSphere and continues to bring best practices to the field as the customer base for big data expands.

Recent Posts

Designing a Shared Virtualized Infrastructure for Business Critical, Machine Learning and High-Performance Computing Workloads

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The University of Groningen – Center for Information Technology The University of Groningen (UG) is a public research university, located in the north of the Netherlands. The university has over 5000 people on staff and over 30,000 students across its under-graduate and post-graduate populations. The Center for Information Technology (CIT) within UG provides computing resources Read more...

vSphere 6.7: Suspend and Resume of GPU-attached Virtual Machines

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VMware vSphere  is the Universal Application Platform of choice for deployment of all kinds of applications – from end-user virtual desktops to very large databases, machine learning systems and in-memory data management systems. vSphere 6.7  became generally available in April 2018. This article describes a set of use cases and a demonstration for a new feature Read more...

Big Data Video – Benefits of Virtualizing Big Data on vSphere

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We often get questions from people who are new to big data about the reasons for virtualizing these newer infrastructures and applications. People are also interested in knowing the benefits you can gain from doing so. This video provides a set of answers to those questions. Summarizing the main points discussed in the video, the Read more...

Why the Data Scientist and Data Engineer Need to Understand Virtualization in the Cloud

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More and more application workloads are moving to the different cloud platforms, whether they be public, private or hybrid clouds. Big data and analytics application workloads are on the move too. It is important that the data science/data engineering users of big data platforms and analytics applications gain a good understanding of the infrastructure in these clouds Read more...

Big Data Performance and Best Practices: New Spark Application Measurements

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The Performance Engineering team at VMware has produced another highly useful report and blog on best practice/performance work they have done in the Big Data area. This new report contains test result data from benchmark tests conducted using Spark-based as well as MapReduce applications. The report also gives you specific advice on best practice implementations. Spark was originally Read more...