Five Emerging Trends in Enterprise Data Management Posted on : May 20 - 2022

As we creep further into 2022, it bears remembering how still less than a decade ago, the enterprise consumer market looked upon data solutions – mostly, data warehousing – as an unavoidable fixture of their solution architecture. A monolith designed to defray cost and performance impacts to core business operations in order to satisfy rigid reporting and analytics’ needs. More often than not, these solutions were seen as dependent cost centers requiring significant maintenance budgets for limited innovation return. It was just the cost of doing business.

And since that time, concepts of and relating to infinite computing, elastic infrastructure, and managed services in the cloud have revitalized an entire demographic’s perspective on the value of data. This new, imbued value of data features prominently in most C-suites’ 5 and ten-year strategies as a source of revenue generation with data now being assigned extrinsic value.

This pivot on data-as-a-strategy has hardly happened in a vacuum; the emergence of commoditized computing domains including artificial intelligence, machine learning, IIoT, and graph-led product categories have had the effect of both pulling data architectures into the future as well as seeing the pace of data architecture innovation driving advances in those same product markets.

This has given rise to a Cambrian explosion of greenfield technologies and start-ups, fresh solution verticals, and re-invented processing architectures that only just saw north of $5 billion invested into the space in 2021 alone – the majority of this being thrown into the analytics and storage ring.

Given this abbreviated review, we’re also deeply interested in diving deeper into where the data space finds itself headed and we’ve marked that outlook with 5 key trends we suspect to see core to the evolution enterprise data management over the next half-decade. View More