Massive Storage Systems and Technology Conference

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Written by Number Six

Published: 26 April 2019

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Massive Storage Systems and Technology Conference (MSST) Announces Distinguished Keynoters and 5-Day Agenda of Notable Speakers At-scale storage in the age of AI and next gen storage to dominate 35th annual conference agenda.

Santa Clara, California, April 8, 2019 – The Massive Storage Systems and Technology Conference (MSST) today announced keynote speakers Margo Seltzer and Mark Kryder, along with a five-day agenda of invited and peer research talks and tutorials, May 20-24 in Santa Clara, California. Now on its 35th conference, MSST is the premiere large-scale storage conference that focuses on current challenges and future trends in distributed storage system technologies, drawing a diverse group of system designers and implementers, storage architects, researchers, and vendors from both industry and academia.

Breathe Easy: The Red Hat Acquisition by IBM Was Always a Goal

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Written by Douglas Eadline

Published: 29 October 2018

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Over the weekend it was announced IBM was buying Red Hat. A lot of gasps in the community. Personally, I'm not surprised and some other strategic moves may follow. My guess is Canonical's phone is ringing today. I sometimes think these acquisitions are forty percent about the technology/people and sixty percent about keeping it out of the hands of competitors. In this case, I believe it is about renting remote servers, sorry, cloud computing.

Big Data In Little Spaces: Hadoop And Spark At The Edge

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Written by Administrator

Published: 25 April 2019

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Ever wonder what Edge computing is all about? Data happens and information takes work. Estimates are that by 2020, 1.7 megabytes of new data will be created every second for every person in the world. That is a lot of raw data.

Two questions come to mind. What are we going to do with it and where we going to keep it. Big Data is often described by the three Vs – Volume, Velocity, and Variability – and note not all three need apply. What is missing is the letter “U” which stands for Usability. A Data Scientist will first ask, how much of my data is usable? Data usability can take several forms and include things like quality (is it noisy, incomplete, accurate) and pertinence (is there any extraneous information that will not make a difference to my analysis). There is also the issue of timeliness. Is there a “use by” date for the analysis or might the data be needed in the future for some as of yet unknown reason. The usability component is hugely important and often determines the size of any scalable analytics solution. Usable data is not the same as raw data.

Get the full article at The Next Platform. You may recognize the author.

JuliaCon 2018 Summary Report

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Written by John Hearns

Published: 15 August 2018

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[Editors Note: Thanks to John for reporting in from JuliaCon 2018.]

Julia Con 2018 took place at London University College and the Microsoft Reactor space in Hoxton last week. The conference saw the release of the 1.0 version of the language.

My main impression is that Julia is being used in production for a wide range of uses. What follows is a small selection of keynotes and talks which impressed me. All of the conference talks are available in this YouTube playlist .