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Hedvig 2017 Predictions: Cloud and Storage Technology Predictions

VMblog Predictions 2017

Virtualization and Cloud executives share their predictions for 2017.  Read them in this 9th annual series exclusive.

Contributed by Avinash Lakshman, CEO and Founder of Hedvig

Cloud and Storage Technology Predictions for 2017

This past year has seen a surprising amount of change in the storage sector. The EMC/Dell merger placed a spotlight on the future of cloud computing and new technologies like machine learning and AI are putting greater emphasis on metadata and in-memory storage than ever before.

Although these seem like separate developments, they're all steps on the path to enterprise-wide digital transformation. Digital transformation, the widespread application of digital technologies across society, will ultimately make on-premise datacenters obsolete as companies move to the public cloud. But this won't happen in 2017. Many organizations today still rely on their own data centers or onsite IT. In addition, because they also rely on traditional storage, businesses have no easy way to embrace the public cloud as an extension of their data centers.

As for 2017, here's what we at Hedvig are expecting:

  • Monetizing metadata will be a real business model: The nature of many distributed systems, such as those used in large companies like Google or Facebook, is by design to collect and store lots and lots of metadata. This "data about the data" will become more valuable as companies analyze more of it for insights. Organizations like Netflix have already built their success around analyzing customer data for commonalities and many companies will follow. Making sense of metadata, particularly metadata that has been stored for a long time, can also lead to new customer insights as well as become the focus of new products sold by analytics vendors.
  • With new sources of data, in-memory and temporary storage will become more important: It can't be underemphasized that the process of analyzing new sources of data, such as augmented and virtual reality, AI and machine learning, is becoming critical to long-term business goals. That said, storing the data long term is both impractical and unnecessary when the results of analysis are more important than the data itself. Although 2017 will bring more data growth requiring permanent storage, most new data generated will be ephemeral and be quickly discarded. As a result, despite exponential data growth, there won't be as much storage growth as experts might have otherwise expected.
  • Machine Learning will become commonplace: A unique trait of today's machine learning technology is the fact that much of it is open source. As developers spearhead more innovation - from the bottom-up - many different products and services will include machine learning in their platforms as a matter of course. This means that more enterprises will adopt machine learning in 2017 without explicitly meaning to do so because vendors are using ML to make their products more responsive and generally smarter than before. Even existing products will soon use some form of machine learning because the technology can be delivered easily via an update or as an extra paid feature.
  • More enterprises will deploy multi-cloud environments: With many companies investing more in public and private cloud services, 2017 will see more businesses simultaneously committing to multiple cloud providers. Fewer businesses will choose only AWS or Microsoft Azure; instead, they will dual-source public cloud services to avoid vendor lock-in. The challenge will be in making data services easy and productive across multiple clouds. Without this ability, enterprise deployments will be as inefficient as they were when businesses were still using tape.


About the Author 

Avinash Lakshman is the CEO & Founder of Hedvig. Before starting Hedvig, Avinash built two large distributed systems: Amazon Dynamo and Apache Cassandra. As the pioneer of NoSQL systems, Avinash is passionate about using distributed systems to disrupt a storage space that hasn't seen any real innovation over the last decade.

Avinash Lakshman 

Published Monday, December 05, 2016 9:07 AM by David Marshall
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