SharePoint 2013 Search

1. SharePoint 2013 Search Bert Johnson

2. About Bert Johnson • SharePoint Architect with Protiviti • Microsoft Certified Master since 2010 • bert@bertjohnson.net • http://www.slideshare.net/bertjohnsonnet/ • Twitter: @SPBert

3. Agenda • Planning for “Enterprise Search” • Microsoft’s Search Capabilities • SharePoint Search 101 • Search Enhancements in SharePoint 2013 • End-User Experience • Content By Search Web Part • Application Platform

4. Planning for“Enterprise Search”

5. All of Your Data in One Place • SharePoint content • Exchange content • CRM and ERP data • LOB databases • File shares • People / expertise • Websites

6. Motivations • More data in more places • Find data spread across multiple systems • Scale to support large index and query volumes • Different types of data • Incorporate different types of results • Find employee expertise • A need to act quickly • Enable fast decisions through filtering • Adapt based on user behavior • Ensure results are secure and manageable • Automatic security trimming • Centralized analytics

7. Microsoft’s Search Capabilities

8. Microsoft’s Search Capabilities • Search is one of Microsoft’s top priorities, permeating every product line • SharePoint, FAST, and Bing are the cornerstones of a ten year R&D roadmap focused on search innovation • Microsoft’s total R&D budget for 2012 was $9.6 billion, with over $2 billion towards search • Microsoft has recently made several large search acquisitions, including:

9. FAST Search Solves the Toughest Challenges The #1 electronics retailer • The source for all government publications The #1 computer retailer The #1 fashion retailer The #1 career site

10. Gartner Quadrant • Consistently recognized as a leadersince the FAST acquisition • Recently downgraded by Gartnerdue to the tight coupling withSharePoint

11. SharePoint Search 101

12. Supports phonetic name lookup and Wildcards Filter by focus, expertise, etc Organization browsing Recentcontent

13. Social Search • People Search • Incorporates people’s interests, expertise, and recent activity • Outlook Social Connector automatically discovers relationships • “Self Search” • Returns information about the current user • User Behavior • Click popularity influences the ranking of search results • Suggestions driven by past searches and taxonomy • Ranking driven by: • Content ratings • Social tagging • Query suggestions • Popularity of click-through

14. LinguisticCapabilities • Managed properties allow structured queries • Wildcard searches using a partial prefix • e.g. “Micro*” returns “Microchip”, “Microscope”, and “Microsoft” • Correct common misspellings and recommend alternatives • Phonetic search algorithm and nickname matching • Search using booleans (AND, OR, NOT) • Support for operators on managed properties • e.g. “modified>6/14/2013” • Manylanguage packs supported

15. SharePoint Architecture • 2010/2013 Improvements • Crawling now distributed acrossmultiple load balanced servers • Index can be partitioned and distributed across servers • New service application model canisolate search from other services • Scale and performance improvements • Manageability through PowerShell

16. FAST Search 101

17. Renee Lo, Engineer What should I know about implementing ERP? Alan Brewer, Sales What should I know about selling ERP consulting?

18. … FAST Architecture Format Conversion Lemmatization EntityExtraction Language Detection Mapper • “Content Transformation Services” Pipeline • Sequential stages perform specific tasks on content • Breaks down content into discrete parts • Understands file encoding, data formats, and written languages • Custom stages can be built to enrich content • The Pipeline automatically tries to infer known properties (names, addresses, dates) • e.g. Author property of “John Doe” is automatically picked up from “By John Doe” • “Interaction Management Services” allowed query differentiation • FAST farms can scale to handle any needs

19. Scale-out Multiple “Dimensions” • Content Volume • Query Volume • Indexing Freshness • Redundancy Options • Search • Indexing • Performance Targets* • 15M Docs/column • 30 QPS/row Query Volume Search and Indexing Query and Result Processing Content Volume Crawling and Content Processing

20. Search Enhancements in SharePoint 2013 End-User Experience

22. Display Templates

23. Query Rules

24. Site Collection Settings • 18 links of settings to manage!

25. eDiscovery and Exchange Integration • eDiscovery is based on search • Can now connect to Exchange via trust • Export now supported

26. MySite Task Aggregation • Search aggregates tasksfrom SharePoint, Exchange,and Project Server • Example of search-basedpresentation

27. Search Enhancements in SharePoint 2013 Content By Search Web Part

28. Content By Search Web Part

29. Content Reuse

30. Search Enhancements in SharePoint 2013 Applications

31. Developer Improvements • Derive from Content By Search Web Part • Supported Methods: • Keyword Query Language • FAST Query Language • REST Interface • Just use /_api/search/query?querytext=‘’ • E.g.: https://intranet.yourcompany.com/_api/search/query?querytext='SharePoint+Conference+.ORG‘

32. Analytics and Recommendations • New analytics engine based on search • Allows for targeted recommendation

33. Search Internals

34. Q&A

35. Resources • TechNet SP2013 Search Guide: http://technet.microsoft.com/en-us/sharepoint/jj898538.aspx

36. About Bert Johnson • SharePoint Architect with Protiviti • Microsoft Certified Master since 2010 • bert@bertjohnson.net • http://www.slideshare.net/bertjohnsonnet/ • Twitter: @SPBert