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Implement Azure Search
• About Search Service
• Create a Search Service
• Create Index
• Import Data
• Handle Search Results
• Programming Search in .NET using Azure Search SDK
About Search Service
Azure Search is a cloud search-as-a-service solution that allows you to easily add a robust search experience to your applications using a simple REST API or .NET SDK without managing search infrastructure (as it is delegated to Microsoft Azure) or becoming an expert in search.
Powerful search experience in-app or site:
1. Full-text search and text analysis: In Azure search, queries can be formulated using the simple query syntax, which offers logical operators, phrase search operators, suffix operators, precedence operators. Additionally, the Lucene query syntax can enable fuzzy search, proximity search, term boosting, and regular expressions.
• wifi+luxury will search for documents containing both wifi and luxury
• wifi | luxury will search for documents containing either wifi or luxury or both.
• wifi –luxury will search for documents that have the wifi term and do not have luxury
• lux* will search for documents that have a term that starts with lux, ignoring case.
• "Roach Motel" (with quotes) will only match documents that contain that whole phrase together
• motel+(wifi | luxury) will search for documents containing the motel term and either wifi or luxury (or both).
2. 56 different languages support: Azure Search can analyze the text in your application's search box to intelligently handle language-specific linguistics including verb tenses, gender, irregular plural nouns (for example, 'mouse' vs. 'mice'), word de-compounding, and more.
3. Data integration: You can push JSON data structures to populate an Azure Search index. Additionally, for supported data sources, you can use indexers to automatically crawl Azure SQL Database, Azure Cosmos DB, or Azure Blob storage to sync your search index's content with your primary data store.
How it works
Step 1: Provision Search Service
Step 2: Create Index (Portal / Data Source(SQL Server or Storage or …) / Code)
Step 3: Add Data to Index
Step 4: Search / Query
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This video was compiled by Mr. Sandeep Soni, a Microsoft Certified Trainer and an Azure Solution Architect. Know more -
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