sharepoint saturday perth 2013 - overview of search in sharepoint server 2013 - sezai komur

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Overview of Search in SharePoint Server 2013Sezai KomurMicrosoft SharePoint Server MVPSharePoint Solutions Architect – NEC IT Solutions

History of SharePoint Search

Architecture of Search in SharePoint 2013

Search Centre

Result Sources

Result Types

Display Templates

Query Rules

Content Enrichment

Recommendations

Recap

Agenda

2013 Microsoft MVP Summit

There has been Search available in SharePoint since SharePoint 2001 and all future versions.

FAST Search and Transfer Acquisition in 2008…

Two Search Product Options for SharePoint 2010

SharePoint Server 2010 Search

FAST Search Server 2010 for SharePoint

One Search Product Option for SharePoint 2013!

History of SharePoint Search

Lineage of SharePoint 2013 SearchSharePoint 2001

Search

SharePoint 2003 Search

MOSS 2007 Search

SharePoint 2010 Search

FAST ESP

FAST Search Server 2010 for SharePoint

SharePoint 2013 Search

1. Connect to and crawl content

2. Process the content

3. Store the content in an index

4. Execute search queries against the index

5. Retrieve Results

6. Display the results to the user

Search Engine Basics

SharePoint Server 2013 Search Architecture

SharePoint Server 2013 Search Architecture

SharePoint 2013 Search Centre

demonstration

Result Sources

Replacement for 2010 Scopes + Federated Locations

Apply a query transform to return a corpus subset

Can be created in Service Application, Site Collection and Site levels

Used when defining a new Search ‘Vertical’

Create a new Search Results page and applying the Result Source to it to create a search experience

Result Types

Each Search Result Item is rendered differently

Each Item Uses a different Display Template

No more XSLT, use HTML and JavaScript

Result Sources and Result Types

demonstration

Query Rules

Replaces 2010 Search Keywords and Best Bets

Used to understand user intent and deliver a targeted user experience

Query Conditions Query Actions

Query Publishing

Google Examples

Siri Examples

Query RulesResult BlocksDisplay Templates

demonstration

SharePoint’s Site Collection Boundary Problem

Uses Search as a data source to display content

Content Search Web Part

Content Search Web PartDisplay Templates

demonstration

Used for Entity Extraction

Replacement to the FAST Search Document Processing Pipeline / Processing Pipeline Extensibility

For each item that is crawled:

- The file / properties can be passed to a web service.

- The web service contains custom code which can create new managed properties that are stored in the index.

Powerful for extensibility

Content Enrichment Web Service

You can run code against crawled data and pass data to other systems to: - CRM/ERP and other Line-of-business systems - Geocoding - OCR - Audio and Video Transcription - ‘Deep’ Search of raw data

Content Enrichment Web Service

Analytics based recommendations engine

Similar to –

Amazon “people who purchased this also purchased”

LinkedIn “people who viewed this profile also viewed”

Recommendations

One NEW Search Engine based on FAST & SharePoint Search

Search requires more servers

Search Centre is overhauled and improved

Significant UI enhancements – previews

Query Builder in many places

Recap – Key Takeaways

Result Sources – Replaces scopes & federated locations

Result Types – Configure different Display Templates for individual results

Display Templates – Define how an item is rendered with HTML and JS

Recap – Key Takeaways

Query Rules – Replaces keywords and best bets

Intent based search experience.

When conditions of a query rule trigger are met: - Add promoted results

- Add result blocks

- Change Result Rank

Recap – Key Takeaways

Result Sources, Result Types, Query Rules & Search Schema can be managed at many levels - Search Service Application - Site Collection - Site

Recap – Key Takeaways

Content Search Web Part – Cross Site Collection Aggregation!!!

Content Enrichment – Can be used for property extraction - powerful extensibility

Recommendations – Recommends based on analysis of user behaviour

Recap – Key Takeaways

Question and Answer

Questions?Comments?More info

Contact details:sharepointsezai@gmail.com

@Sezai

http://sharepoint-sezai-moss-2007.blogspot.com.au

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