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Transcript of Http:// Travis Clayton Senior Consultant Microsoft Enterprise Services.
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GROWING SHAREPOINT FROM SMALL LIBRARIES TO LARGE SCALE REPOSITORIES AND MASSIVE ARCHIVES
Travis ClaytonSenior ConsultantMicrosoft Enterprise Services
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Agenda Session Flow
Front end: Talk about tools for end users to manage and find information in a sea of documents
Start with a small library and build up to a massive archive
Takeaways SharePoint 2010 is an indispensible tool for
data scale challenges Usability is essential to scalability Plumbing is taken care of automatically
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SharePoint Grow Up ScenariosN
um
ber
of
inst
an
ces
Number of items
Team Site
Enterprise Metadata
and Content Types
Managed Library
Knowledge Base or Records Center
Massive Distributed
Archive
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Key CharacteristicsUsed for small projects and teamsLots of these created ad hoc throughput the enterpriseMust be lightweight to create with little configuration steps
Scale Point 1: Ad Hoc Team Library
Library for storing a
small team’s work in progress
docs
A library spun up for a particular
project
Library size?Who manages the content?How does content get added?
100-200 docs
No manager
Ad hoc uploads
Examples:
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DEMOTeam Library
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Scale Point 1: Ad Hoc Team Library
Automatic participation with enterprise
doc lifecycle
SP2010 breaks the Site Collection Boundary
Enterprise Metadata and Content Types
Key takeaways from what we
just saw
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Key CharacteristicsMore structure than a team site Probably one managed library per divisionToo big to find content without structure/planned navigationContent is important enough that users are willing to file correctly (if it’s still easy and adds value)
Scale Point 2: Managed Library
RFP Response
library for a sales force
Spec library for an
engineering team
Library size?Who manages the content?How does content get added?
Hundreds or thousands of docsInformally by subject ownerUpload and iterate until finished
Examples:Brand
images repository
for marketing
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DEMOManaged Library
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Scale Point 2: Managed Library
The system helps the user discover the
right metadata
Structured taxonomies allows virtual folders
and new content discovery paradigms
Key takeaways from what we
just saw
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Key CharacteristicsUsers feel like they are handing off content to the archiveMostly finished work product, meant for broad consumptionSometimes, end users don’t even know what they are looking for
Scale Point 3: Repository/Archive
Corporate records archive
Knowledge management repository
Library size?Who manages the content?How does content get added?
Millions to tens of millions of docsA dedicated team
of content stewardsSubmission experience
Examples:Centralized
best practices repository
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DEMOCorporate Archive
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Scale Point 3: Repository/ArchiveKey takeaways from what we just saw
Indices are auto-managed and folder
structure is determined by
business needs
Content organizer ensures structure and
policies on the backend
Tag: AfterFY05, Contract
Folder Name: Post-Merger Contracts
Content Query, Search, and metadata
navigation help users answer broad,
unstructured questions
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Key CharacteristicsLots of process automation to deal with high volumeBackend systems, not users, are primary submitterLogical organization and hierarchy is key
Scale Point 4: Massive, Distributed Archive
Archive for a large
government agency
Yearly archive of insurance
forms
Library size?Who manages the content?How does content get added?
Hundreds of millions of docs
Dedicated team
Automated processes
Examples:
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Scale Point 4: Massive, Distributed Archive
Scale is achieved with a distributed architecture
Content organizer can route content to correct site collection in the archive
Content type
syndication enables central management
of distributed archive FAST search is used
to retrieve content
FY07 …
Hub
Enterprise Metadata and Content Types
Consistent types and policies
across the archive
If created in FY07…
FY08
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Throughout the talk, I’ve mentioned a few back end scale improvements that make new scenarios in 2010 easy:
Reality Check: Review of Back End Scale Improvements
For more info on the back end of scale, see Technet:
Performance and capacity test results and recommendationsSharePoint Server 2010 capacity management: Software boundaries and limits
Internal database
improvements (e.g. lock ordering,
throttling, IOPS efficiency)
SQL 2008’s Remote Blob Storage (RBS)
decreased size of content DB
Compound indexing, index management,
and content-by-query
optimizations
Background per-item
processing throughput
maximization
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Wrapping Up…N
um
ber
of
inst
an
ces
Number of items
Team Site
Enterprise Metadata
and Content Types
Managed Library
Knowledge Base or Records Center
Massive Distributed
Archive
Archive onauto-pilot
Team sites acting in coordination
Virtual folders organize the data
Tens of millions of
docs in a single list
Key TakeawaysSharePoint 2010 is an indispensible tool for data scale challengesUsability is essential to scalabilityPlumbing is taken care of automatically
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