Everything You Wanted to Know...But Were Too Proud to Ask: Data Reduction

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Presented by

John Kim, NVIDIA; Alex McDonald, NetApp

About this talk

Everyone knows data volumes are growing rapidly, far faster than IT budgets, which range from flat to minimal annual growth. One of the drivers of such rapid data growth is storing multiple copies of the same data. Developers copy data for testing and analysis. Users email and store multiple copies of the same files. Administrators typically back up the same data over and over, often with minimal to no changes. To avoid a budget crisis and paying more than once to store the same data, storage vendors and customers want to use data reduction techniques such as deduplication, compression, thin provisioning and snapshots. This webcast will specifically focus on the fundamentals of data reduction, which can be performed in different places and at different stages of the data lifecycle. Like most technologies, there are related means to do this, but with enough difference to cause confusion. For that reason, we’re going to be looking at: •How companies end up with so many copies of the same data •Difference between deduplication and compression – when should you use one vs. the other? •Where to reduce data: application-level, networked storage, backups, and during data movement •When to collapse the copies: real-time vs. post-process deduplication •Performance considerations Tune in to this efficient and educational SNIA webcast, which covers valuable concepts with minimal repetition or redundancy. After you watch the presentation, check out the Q&A blog at: https://bit.ly/34m949E
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SNIA is a not-for-profit global organization made up of corporations, universities, startups, and individuals. The members collaborate to develop and promote vendor-neutral architectures, standards, and education for management, movement, and security for technologies related to handling and optimizing data. SNIA focuses on the transport, storage, acceleration, format, protection, and optimization of infrastructure for data.