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Komprise 2020 Predictions: Tipping the Scales of Data Growth

VMblog Predictions 2020 

Industry executives and experts share their predictions for 2020.  Read them in this 12th annual series exclusive.

By Krishna Subramanian, COO Komprise

Tipping the Scales of Data Growth – 3 Predictions for 2020

We know data growth is exploding, but what is surprising is that the mix of where data is being produced is shifting rapidly.  Over the next few years, more data will be generated in the edge and in the cloud than the amount of data sitting in enterprise data centers.  This has significant implications on how you can analyze and understand your data and manage it in-place at the edge and the cloud without first having to copy or move it into an enterprise datacenter:

1)      Rapid growth in data at the edge requires data management at the edge - Edge buildout is already happening, and its pace is accelerating with trends like Internet-of-Things (IoT), self-driving cars, and biometrics.  Analyst firm IDC predicts that by 2023, 50% of all enterprise IT infrastructure will be deployed at the edge, up from 10% today.  More apps are generating tons of data at the edge, raising the question of why data should not be better understood and managed directly at the edge. Imagine if you could analyze data, figure out what data is useful and needs to be brought back to the datacenter, and directly process the rest of the data at the edge itself without having to first move it all?  This is why edge data management will rise in importance over the next few years.

2)      Cross-cloud data management gains prominence - Most enterprises using the public cloud already have a hybrid/multi-cloud strategy, and enterprises are increasingly choosing to diversify their cloud strategy across two or more clouds.  In fact, Forrester Research found this year that 62%+ of public cloud adopters already use two or more cloud platforms.  As this trend continues, enterprises need a simple way to understand and manage their data sprawl across clouds and the hybrid enterprise, leading to greater demand for cross-cloud data management solutions that are not tied to any particular cloud or storage vendor.

3)      More analytics-driven AI everywhere - For the last couple of years, Artificial Intelligence (AI) and Machine Learning (ML) have been a big theme and this trend is continuing to grow.  While these have initially been more of marketing buzzwords, the potential of AI in data management is clear - how can you manage something you don't understand?  By using analytics to drive AI/ML, analytics-driven data management solutions can continue to leverage the understanding of data to drive better management.  Watch for more exciting developments in this space that leverage deep analytics and data lakes across different storage repositories to help you better manage your data.

2020 brings more data growth everywhere, and with it, a greater need to manage data no matter where it lives - at the edge, in a corporate datacenter, or in the clouds.


About the Author

Krishna Subramanian 

Krishna Subramanian is co-founder and COO of Komprise, the leader in intelligent data management across clouds whose mission is to radically simplify data management through intelligent automation. Komprise is used by enterprises to manage data at scale and has won numerous industry awards and recognition including Gartner Cool Vendor in Storage Technologies, 2017 and CRN Tech Innovator 2017. Prior to Komprise, Krishna held executive roles at both large companies and startups for over 25 years including VP Marketing for Cloud Platforms at Citrix, Co-founder and COO of Kaviza (acquired by Citrix), Sr. Director Corporate Development and Cloud at Sun Microsystems, and CEO of Kovair. Subramanian holds a Master's degree in computer science from the University of Illinois, Urbana-Champaign. Twitter handle: @cloudKrishna 
Published Friday, December 13, 2019 7:49 AM by David Marshall
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