Embed Size (px)
DESCRIPTION
In this presentation, Molly Rector from Spectra Logic introduces the company's new Deep Storage vision. Following that, Brian Granger discusses the built-in intelligence that the company is leveraging in its existing storage devices. Watch the Presentation Video: http://wp.me/p3RLEV-1eQ
Citation preview
Deep Storage: Enabling the Disrup4ve Thinkers in
Your Organiza4on
• Clayton Christensen, “Disrup(ve Technologies: Catching the Wave” • New technology disrupts… • Old technology diminishes…
What is a disrup4ve technology?
What is a disrup4ve user?
• 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
• 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
• 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”
Welcome to our world…
• 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?
• Intent of File Systems • Hierarchical vs. Flat • Metadata
Object Store vs. File System
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
Object Stores are “Flat” vs. Hierarchical
Like files, objects contain data Unlike files, objects are not stored in hierarchy
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
Enables search, mining, and analy4cs of billions of objects without touching physical media
Metadata and physical data are separated
Metadata
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
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
The Tipping Point
• Encryp4on
• Media Lifecycle Management
• Drive Lifecycle Management
• Data Integrity Verifica4on – PreScan – QuickScan – PostScan
