Komprise is a Winner

[Disclosure: I was invited by GestaltIT as a delegate to their Storage Field Day 19 event from Jan 22-24, 2020 in the Silicon Valley USA. My expenses, travel, accommodation and conference fees were covered by GestaltIT, the organizer and I was not obligated to blog or promote the vendors’ technologies to be presented at this event. The content of this blog is of my own opinions and views]

I, for one perhaps have seen far too many “file lifecycle and data management” software solutions that involved tiering, hierarchical storage management, ILM or whatever you call them these days. If I do a count, I would have managed or implemented at least 5 to 6 products, including a home grown one.

The whole thing is a very crowded market and I have seen many which have come and gone, and so when the opportunity to have a session with Komprise came at Storage Field Day 19, I did not carry a lot of enthusiasm.

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Data Renaissance in Oil and Gas

The Oil and Gas industry, especially in the upstream Exploration and Production (EP) sector, has been enjoying a renewed vigour in the past few years. I have kept in touch with the developments of the EP side because I always have a soft spot for the industry. I have engaged in infrastructure and solutions in the petrotechnical side in my days at Sun Microsystems back in the late 90s. The engagements with EP intensified in my first stint at NetApp, wearing the regional Oil & Gas consulting engineer here in South Asia for almost 6 years. Then, with Interica in 2014, I was dealing with subsurface data and seismic interpretation technology. EP is certainly an exciting sector to cover because there are so much technical work involved and the technologies, especially the non-IT, are breath taking.

I have been an annual registrant to the Digital Energy Journal events since 2013, except last year, and I have always enjoyed their newsletter. This week I attended Digital Energy 2-day conference again, and I was taken in by the exciting times in EP. Here are a few of my views and trends observation in this data renaissance.

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