Download - Deep Storage Vision from Spectra Logic
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Deep Storage: Enabling the Disrup4ve Thinkers in
Your Organiza4on
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• Clayton Christensen, “Disrup(ve Technologies: Catching the Wave” • New technology disrupts… • Old technology diminishes…
What is a disrup4ve technology?
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What is a disrup4ve user?
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• By 2020 the Digital Universe will hold 40 ZeLabytes • In 2012 68% of informa4on was created and consumed by individuals… • More informa4on is being created about individuals than they are crea4ng themselves
Why the need for deep storage – really?
A new genera)on of technologies and architectures, designed to economically extract value from very large volumes of a wide variety of data by enabling high-‐velocity capture, discovery and analysis.
Source: IDC, The Digital Universe in 2020, December 2012
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• Correla4on is King • “What” more than “Why” • No-‐delete data policies • n = All
Why keep all that data?
Predic4ve!
Data growth is not being driven by the need to restore the past… It’s all about predic4ng the future
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• Running analy4cs against a data set in order to understand correla4ons
• N = All • This is the use model driving the Digital Revolu4on, and our technologies must follow
Correla4on is King
What Happened?
What will Happen Next?
Why
Trading “Why” for “What”
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Welcome to our world…
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• Deep storage is extremely low-‐cost, power efficient and dense storage for data that does not need immediate access.
• Deep storage is accessed over open interfaces such as REST interfaces and web protocols.
• Data in deep storage is stored as objects that are self-‐describing and wriLen in an open file format.
Deep Storage – what is it exactly?
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• Intent of File Systems • Hierarchical vs. Flat • Metadata
Object Store vs. File System
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File Systems are “Nested”
• Invented 30 years ago • Much overhead to:
– Allow concurrent access – Allow read & write
• Focus on “loca4on” vs. “content” • Great for real 4me sharing and edi4ng or processing • Limita4ons on scaling, indexing and searching
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Object Stores are “Flat” vs. Hierarchical
Like files, objects contain data Unlike files, objects are not stored in hierarchy
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Each object has a unique object ID • Physical loca4on of the data no longer maLers • Objects can be moved across the storage pools among one
or mul4ple 4ers • Data can be stored or copied within an Object Store thus
elimina4ng the need to con4nually back it up
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Enables search, mining, and analy4cs of billions of objects without touching physical media
Metadata and physical data are separated
Metadata
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Cools things you get with Deep Storage… • REST Interface
– Move bulk data easily with a modern interface & sokware clients
• Persistent – Keep data forever, auto-‐migrate across formats over 4me
• Cost Effec4ve – A frac4on of the cost of disk, save budget $$ for other projects
• Efficient – Significantly reduce floor space, power and cooling costs
• Secure & Reliable – Data will always be readable and only by the right people
• Easy to integrate/deploy – No storage experts needed, significant 4me and OPEX savings
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Media & Entertainment Film, TV, Music, Broadcas4ng, Publishing
Oil & Gas Seismic image processing
Life Sciences BioIT, Genomics, Pharma
Federal & State Government Intelligence, Surveillance, Security
Internet Services Web 2.0 , Public Cloud
Deep Storage Markets
AcEve Archive Offload Primary Storage
Private Cloud Deep/Long Term Storage Records, Data Warehousing
Big Data AnalyEcs Hadoop
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The Tipping Point
• Encryp4on
• Media Lifecycle Management
• Drive Lifecycle Management
• Data Integrity Verifica4on – PreScan – QuickScan – PostScan