Three Considerations for Modern Data Protection

Today’s digital data deluge has heralded changes in enterprise workloads, with data analytics, artificial intelligence, and machine learning all taking advantage of―and ultimately creating more―data throughout the enterprise. As organizations shift away from legacy relational databases toward new open source and cloud-based platforms, the very nature of applications and data is constantly shifting, making data protection increasingly challenging.

This paper discusses strategies for protecting all workloads across the enterprise and suggests three key considerations when modernizing data protection to encompass across-the-board data types and workloads.

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Veritas

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