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Data Protection as a Service Market Outlook, Size, Share and Growth Stance Forecasted Through 2025
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Quantum Bolsters Executive Leadership Team with Appointment of Former NetApp and Pure Storage Executive Brian Pawlowski as Chief Development Officer
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PURPOSE BUILT BACKUP APPLIANCE MARKET | BUSINESS INSIGHTS, TRENDS, OUTLOOK AND KEY PLAYERS 2018-2026
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Quantum Acquires Square Box Systems Ltd, Maker of CatDV, to Help Businesses Get More Value from Unstructured Data
Acquisition Adds Data Cataloging, AI Analytics and Automation Software for Data Enrichment and Orchestration
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SAN JOSE, Calif., Dec. 14, 2020 /PRNewswire/ Quantum Corp. (NASDAQ: QMCO) today announced it has acquired Square Box Systems Ltd, a specialist in data cataloging, user collaboration, and digital asset management software. The acquisition builds on Quantum s recently expanded portfolio that classifies, manages, and protects data across its lifecycle by adding technology advancements to further enrich video, digital images and other forms of unstructured data. This acquisition will strengthen Quantum s ability to provide software solutions to help companies unlock the business value contained in their data, both on-premises and in the cloud.
Published Thu, Dec 10th 2020
Next-Generation Data Storage Technologies Market to Touch 149 Billion | Know COVID-19 Analysis | Top Companies- Quantum Corporation, Toshiba Corporation, NetApp
Market Research Future (MRFR), highlights that the Next-Generation Data Storage Technologies Market Eyeing Admirable Growth due to Proliferation of Smartphones. The next-generation data storage technologies market will touch USD 149 billion at a whopping 19% CAGR between the forecast period 2016- 2022. The next-generation data storage technologies market will touch USD 149 billion at a whopping 19% CAGR between the forecast period 2016- 2022, states the recent Market Research Future (MRFR) analysis. Next-generation storage technology comprises technologically advanced data storage solutions and products to handle with increasing file sizes and an increased amount of unstructured data. It manages large data securely and allows fast, secure, and reliable data recovery in a cost-effect