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Denormalized vs. Normalized Data

Pure Storage

Denormalization involves combining tables that have been normalized to improve query performance and simplify data retrieval. The choice between the two depends on the specific requirements of the application and the balance between data consistency and system performance, but both play a very important role in data management.

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On Premises vs. Cloud: A Brief Primer on Hosting

Pure Storage

Cloud hosting means placing compute resources—such as storage, applications, processing, and virtualization—in multi-tenancy third-party data centers that are accessed through the public internet. Connectivity might be through a private network locally, as well as through the public internet for dispersed users.

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CIFS vs. NFS: Which Filesystem Is Right For Your Needs?

Pure Storage

Two prominent file-sharing protocols, Common Internet File System (CIFS) and Network File System (NFS), play pivotal roles in enabling smooth data exchange. This article explores CIFS and NFS, their functionalities, differences, performance, administration, and best use cases for enterprise data management professionals.

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The Future of Business Continuity: Innovations and Emerging Technologies

Erwood Group

Predictive Analytics for Risk Assessment: How it Works: AI algorithms analyze historical data, identify patterns, and predict potential risks and disruptions. Application: Predictive analytics enables organizations to rapidly assess risks and proactively implement measures to mitigate the impact of potential disruptions.

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Why Zerto Cyber Resilience Vault?

Zerto

Rapid Recovery Data vault solutions typically prioritize data integrity and security for ransomware resilience. Vaults that offer an SaaS control plane, for example, are always connected to the internet. This unnecessary connectivity exposes organizations to risk and undermines the purpose of a data vault.

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Data Fabric vs. Data Lake vs. Data Warehouse

Pure Storage

It provides a unified, real-time view of data, enabling businesses to integrate their data management processes with their data from various sources, including hybrid cloud environments, web applications, and edge devices. petabytes) in its raw form for eventual use in data processing.

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How Data Fuels Modern Fire Safety Operations—and Keeps Communities Safe

Pure Storage

Fire Departments Seek to Control a Burgeoning Data Firestorm Digital transformation by fire departments is intended to enhance the day-to-day work of these crucial public safety organizations, and not just help them be better prepared to respond to the most serious incidents.