When Mastercard wanted to improve the speed and security of credit card transactions, when Baylor College of Medicine was scaling up its human genomic sequencing program, and when toymaker Spin Master was expanding into online video games and television shows, they all turned to object storage technology to facilitate the processing of massive amounts of data.
Object storage, with its virtually infinite capacity and low cost, has a long history of being deployed for backup, archiving, disaster recovery, and regulatory compliance. But the demands of today’s data-centric organizations have brought the technology from the dusty storage closet to the center stage of digital transformation.
For any tech decision-maker thinking about an overall data strategy, having a large central repository, also known as a data lake, is the preferred approach—it helps break down silos and aggregate data from multiple sources for the type of data analysis that delivers value to the business. Object storage is the most effective underlying technology for applying data analytics, machine learning, and artificial intelligence to those vast data stores, says Scott Sinclair, storage analyst at market researcher Enterprise Strategy Group.
“The biggest advantage of object storage is to add more value to primary data. It doesn’t just store files; it adds context,” says Paul Schindeler, a former IDC analyst and currently CEO of the Dutch consultancy Data Matters. An object store includes metadata, or labels, which enables companies to easily search vast volumes of data, determine the origin of the data, whether it has been altered and, more important, to set policies and keep auditable records on who can see the file, who can open it, and who can download data.
Most organizations today use a mix of storage types: file storage,
By: Jason Sparapani
Title: Object storage for digital-age challenges
Sourced From: www.technologyreview.com/2020/11/30/1012471/object-storage-for-digital-age-challenges/
Published Date: Mon, 30 Nov 2020 17:00:21 +0000
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