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Managing Unstructured content with Search Powered SolutionsALMOND LABS

SATURDAY FEB 23, 2013

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Collaboration ate my Intranet

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Pranav Sharma@ePranav

Co-Founder, Almond Labs@AlmondLabs

Almond Labs Identity Service ApplicationReach across barriers to your extended organization

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Thanks To Our Sponsors!

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SharePoint User Group SharePoint

◦ End Users◦ Administrators◦ Architects◦ Developers◦ IT Pros

Meetings: 2nd Tuesday of the month, Microsoft Malvern, 5:30-8 pm

WEB: www.TriStateSharePoint.org EMAIL: info@TriStateSharePoint.org TWITTER: @tristateSP

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SharePoint Network Are you an independent consultant or remote worker who deals with SharePoint, Office or Office365?

Do you sometimes feel cut off from the rest of the SharePoint world?

Do you need help with technical or business issues, or just want the chance to socialize with others?

If so, then the SharePoint Network might be for you!

www.SharePointNetwork.org

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Managing Unstructured content with Search Powered Solutions

Traditional approach◦ Static taxonomy mirroring organization structure◦ Users are expected to browse to content

◦ Presentation template (Marketing)◦ Vacation policy (HR)

Problems with Traditional approach◦ Users have to invest a lot of thought into where their desired content lives◦ Barrier to entry for users to contribute, if users are not familiar with taxonomy

Search Powered Solutions◦ Allows for organic growth & collaboration◦ Allows users to discover content instead of expecting them to browse◦ Enables users to quickly identify relevant content

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Continuous CrawlParallel search crawls keep content fresh without manual crawl schedules.

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RefinersProvide a drill down behavior based on search result metadata, now covers entire result set (as opposed the first 200 results)

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Document Preview Panels

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For identifying content in the browser. Allows users to stay on the search page while locating the correct document

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PDF Support

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Query Rules

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Allow for customizing result sets based on “intent.” Allows for promotion or highlighting of content based on rules around the search query

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Query Suggestions

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Dynamic feature in SharePoint 2013, but you can also set explicit suggestions that will be offered to the user for common queries

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Result Sources

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“Containers” for search results that hold results from specific sources and/or are filtered by specific criteria.

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Result Type Display Templates

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Highlight different types of results differently in the same result set

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Search SchemaSearchable

Queryable

Retrievable

Refineable

Sortable

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Entity ExtractionExtract metadata from crawled content without explicit content classification

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Content AggregationImprovements in freshness of search results allows for search driven content agregration “rollups” and “summary views”

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Community Site

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My Sites

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Logical Architecture

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Physical/ Virtual ArchitectureRedundant search components

Mirrored search index to increase query throughput

Isolated distributed cache service

SQL 2012 AlwaysOn for database redundancy

VM Host 1

Content Db 1 Content Db 2

Content Db 3 Content Db 4

All other SharePoint databases

Crawl Db

Link Db

Configuration Db

Database Server 1

Redundant copies of all databases using SQL 2012

AlwaysOn

Database Server 2

Application Server 1

Web Server 1

Query Processing

VM Host 2

Application Server 2

Web Server 2

Query Processing

Distributed Cache

Other Services

Crawl

Content Processing

Index Partition 0

Distributed Cache

Crawl

Content Processing

Office Web Apps Server

Replica Replica

Database Tier

Application Tier

Web Tier

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Pranav Sharma@ePranav

Co-Founder, Almond Labs@AlmondLabs

Almond Labs Identity Service ApplicationReach across barriers to your extended organization