Tuesday, Mar 28, 2017
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Executive Viewpoint 2017 Prediction: Basho Technologies – The Year Distributed Computing Becomes Cool Again

IoT presents a huge opportunity for organizations, especially in the next few years. In 2017, we’ll start to see how distributed computing is becoming cool again as organizations attempt to derive value from data. To do so, they’ll have to focus on two major changes. First, they’ll have to stop letting data lakes be the epicenter of their data strategies; second, they’ll have to shift their strategies to be more workload-focused.

Data Lakes Must Work in Tandem With New Technologies

Data lakes aren’t going away. They’re still important aspects of any data strategy. Data lakes hold historical data, and that information offers insights on trends and patterns. However, the days of a purely centralized data strategy are over. Next year, especially with IoT orientated projects, organizations must begin to transfer the bulk of their data investments to enabling data utilization where it is generated — the edge of their networks.

As data volume grows, it will become increasingly costly and time-consuming to move the data from its source to a centralized location for processing. As a result, edge analytics will play a larger and larger role in data initiatives. In order to extract the value present in IoT data, organizations must ensure their data lakes work in tandem with the newer technologies and strategies (like edge analytics) they implement.

Workload-Focused Strategies Are the Future

Today, many organizations begin planning their data strategies by figuring out what technology solution(s) they’ll need to enable their plans. As we move into 2017, and beyond, data technology offerings will become increasingly accessible. This accessibility suggests that organizations should shift their mindset from a technology-focused one to a workload-focused perspective. Because the technology needed to perform analysis and ingest is widely available, executives must instead ask questions about their data workloads: the use cases they’ll implement and the end results they’re looking for.

There’s Still Time to Make Changes

IoT is certainly here, but most IoT initiatives are not of the magnitude of GE or Weather Company-type deployments. This is great news for organizations who have begun to plan for a larger-scale future. Next year, they can begin to implement their data projects by focusing on incorporating existing technology with distributed architectures and determining the kinds of workloads they need to address. These two shifts will be imperative to deriving value from data and turning IoT into something useful.