Remove Application Remove Data Integrity Remove Healthcare
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How Can Blockchain Be Used in Data Storage and Auditing?

Pure Storage

This level of transparency and security is invaluable in industries like finance and healthcare , where regulatory compliance and data integrity are critical. Every transaction, every piece of data stored on a blockchain, is time-stamped and linked to the previous one, creating a chain of events that can be easily traced.

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10 FAQs for Pure Storage SafeMode for Epic

Pure Storage

Ransomware attacks can be devastating for healthcare organizations. As your organization scales, so does your responsibility to protect your customers’ clinical data from ransomware attackers. . Pure Storage platforms are highly scalable storage solutions for the Epic EMR healthcare application framework.

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What Is Cyber Extortion? Tips for Securing Your Data

Pure Storage

Data breaches often exploit vulnerabilities in software, weak passwords, or insider threats to gain access to critical systems and exfiltrate data. Data breaches wreaked havoc on businesses from data management to healthcare in 2024.

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OLAP vs. OLTP: Comparing Data Processing Systems

Pure Storage

These systems provide a systematic way to store, organize, and access information, allowing users to efficiently interact with and manipulate data for various purposes, such as analysis, reporting, and application development.

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World Backup Day Quotes from Experts for 2025

Solutions Review

Without proper oversight, sanctioned and unsanctioned SaaS applications can leave sensitive business information exposed. Companies are more likely to experience a cybersecurity incident if they cant see where their data resides. When backups of sanctioned SaaS applications do exist, overlooked SaaS data often goes unprotected.

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IT Orchestration vs. IT Automation: What’s the Difference?

Pure Storage

In the context of computing, container orchestration specifically refers to the management of containerized applications, where containers encapsulate an application and its dependencies, making it portable and scalable across different computing environments.

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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.