Five incoming changes in data management

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We have seen massive growth in the use of data and analytics these past few years as they become a significant part of day-to-day business operations. To put this into perspective, the worldwide Big Data market revenues for software and services are projected to reach $103 billion US (approximately $140 billion AUD) in less than 10 years from now, according to Forrester.

Additionally, an Accenture study found that 79% of enterprise executives agree that companies who do not embrace Big Data will lose their competitive position and could face extinction?

With this in mind, I have put together a list of the top data trends businesses should watch for in 2019.

As data sets grow larger and larger, it is very likely that edge analytics will be the future of Big Data. Edge analytics is essentially performing data analysis at the point of, or close to, where the data is being collected – real-time data analysis. As the tools and applications to perform analytics in place mature, it leaves little reason for businesses to hold onto traditional processes of capturing and relaying data for analysis.

The biggest issue that edge analytics could solve is capturing and analysing the vast majority of data produced by IoT devices that is wasted due to IoT systems being too slow. With approximately 26.66 billion connected devices predicted to be installed worldwide by 2019, organisations looking to leverage the data generated from these devices will need an edge analytics solution to fully realise its value.

2. Containers will become the primary delivery mechanism

Hybrid cloud strategies have become the norm. Because of this, the need for agile application delivery between cloud environments is strong – enter containers. Most IT professionals know by now what the purpose of containers are but for the uninitiated, they are independent environments containing an application and all its relevant data needed to run it in one, agile package.

Due to their agile nature, containers speed up workload processes and application delivery, making them a highly sought after solution to hybrid cloud environments. In fact, ESG predicts that containers will make up one-third of hybrid cloud production workloads by 2020, up from just 19% now.

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Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.