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Optimizing Object Storage for Media & Entertainment James Norman - - PowerPoint PPT Presentation
Optimizing Object Storage for Media & Entertainment James Norman - - PowerPoint PPT Presentation
Optimizing Object Storage for Media & Entertainment James Norman Storage Made Easy james@storagemadeeasy.com Media Data Feeds Data Feeds Simple studio example Filming 8-bit RGB @ 24 FPS in UHD = 33GB per minute For a 1 hour episode
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Filming 8-bit RGB @ 24 FPS in UHD = 33GB per minute For a 1 hour episode 33GB X 60mins = 1.6TB per single feed With 5 cameras filming 1.6TB X 5 = 10TB of footage per episode
Simple studio example
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- Perfect for handling the large volumes of data
- Can easily handle TB / PB / EB of footage
- Performance scales as cluster scales eliminating hot spots
- Perfect for unstructured data
- Performant: Large file support with DLOs, MPUs & Range Reads
- Cost Saving, Built in DR, Geo Deployment
Why do people choose Object Storage for this type of data?
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- Storage needs to scale and be always be available
- Need to pull data down, or up in a quickest possible way
- Need to secure the data and enforce security policies
- Need to share the data with internal & external parties
- Access to storage is crucial to workflows, for example in DAMs or MAMs,
Genome labs, research institutes.
- Ease of Use
What do firms who require Big Data need?
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File Fabric
Fabric Services: ACLs, Sharing, Policies, Locking, Search Provider Interfaces (60+) Ingest: Indexing, Discovery, Antivirus, Streaming Drives FTP SFTP REST API Plugins Desktop Mobile WebDAV Web App Legacy Applications Users – local/remote Audit Object Storage File Systems Cloud Services Identity Provider New Applications
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- Web – All major browsers - no plugins required
- Desktop, presented as a Network share, or Standalone applications
- Dedicated applications for iOS and Android
- Legacy Protocol Gateway supporting FTP, SFTP and WebDav
- All of these mean it works with your existing toolset
Integrated into every point of access
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Access From The Desktop
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No more command line required
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- Drag and Drop data movement
- Using SME’s M-Stream technology
- Transfers file in multiple parallel streams
- Can transfer TB sized objects
- Uses standard technology, like DLOs, MPUs and Range Reads
- Accelerates:
- X-Cloud transfers
- End-user to storage transfers
- Storage to end-user transfers
Data Movement
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M-Stream Upload to Swift
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M-Stream X-Cloud Transfer
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- View Previews of files
- Media: Movies, Images
- Medical: Dicom & Genome
- Generic: Word, Excel Powerpoint and more
- No need to download entire objects to see a preview
Object Previews
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Streaming Previews
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- Retire those insecure FTP servers currently in use
- You can’t track access
- You can’t expire access to files
- You can’t individually protect files
- Often using shared credentials
- Replace with a secure file sharing platform like the File Fabric
- All access is logged
- Inbound and outbound sharing
- Individually protect files with Passwords, Time-based Expiry and Limits on
access
- Real time reporting of access
Secure Content Distribution
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Secure Content Distribution
Person 1: Creating a shared link
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Secure Content Distribution
Person 2: Accessing the shared link
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- All of these features + many more, whilst remaining storage
agnostic
- The File Fabric does not write data in any proprietary formats,
and uses storage provided technology to deliver its features like DLOs, SLOs, Range Reads and Versioning.
- No lock-in with the File Fabric.
Storage agnostic & nothing proprietary
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- Integrate the File Fabric into Intelligence platforms like Google
Vision and Amazon Media Services & Elemental
- Automatic tagging & classifications (labels, faces, etc)
- Automatic transcription
- All searchable at your fingertips
Intelligence
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- Storage needs to scale and be always be available
- Need to pull data down, or up in a quickest possible way
- Need to secure the data and enforce security policies
- Need to share the data with internal & external parties
- Access to storage is crucial to workflows, for example in DAMs or MAMs
- Ease of Use
Revisit: What do firms who require Big Data need?
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