Azure Cognitive Search - With Real Life Example (Advanced)

What you'll learn
Create DataSource(Cosmosdb) , Index, and Indexers
Synonym Mapping for Fields
Access index using REST API. Simple and Lucene syntax search examples.
Data Enrichment with Custom Web API skill and In Built Skill
Suggestion API
Input and Output Field Mapping
Create and Use Azure Function App
Filter, Facets, SearchMode and other Search API use cases.
Requirements
Azure Account with Free tier Access
Description
In this course we are going to understand each aspect of Microsoft Azure's Cognitive Search Service. We will start with hosting an Azure Function App Service to warm up and setup Azure CLI and account access using programmatic keys. Also will have a basic understanding of Cosmosdb and Storage blob and queues.
Then we will start to dive into What and Why's of Azure Cognitive Service.
We will take Vancouver's street address data available as Open Data and create our Cosmosdb collection datasource.
Once our data source is ready we will start creating Azure Cognitive Service , Index, and then create an Indexer. Then we will add in-built and custom web api skill ( Azure function app api) to Enrich our source data with new fields. We will use incremental indexing for Updated /Newly added documents in data source.
In the process we will also understand skillset Input and Output Field mappings.
We will set Incremental Enrichment Pipeline using Storage Blob Container
Then we will see how we can Search our index using REST APIs for our Search Service.
We will also see examples of
Synonym Mapping for Index Fields
Real Time Suggestion API for UI Search Text Box
Lucene and Simple Search using REST APIs
Filter search data using Odata query, Learn to do Geo-Spatial Search
Getting Facets, Pagination etc
Course will be updated regularly. Next you can expect OCR based document extract pipeline and Reactjs sample UI to depict Search and suggestion API usage in UI
Who this course is for
Developers looking to index huge amount of data using Azure data sources like CosmosDB , Storage Tables, Data lakes etc
Developers looking to make huge datasources available via REST APIs for AI/ML score based lexical Searches
Get search results in sub 100ms search results for millions of items in dataset
Developers looking to Create Data enrinchment pipeline using AI/ML Azure services and third-party APIs
Homepage

https://www.udemy.com/course/azure-cognitive-search-with-real-life-example-advanced/]https://anonymz.com/?
https://www.udemy.com/course/azure-cognitive-search-with-real-life-example-advanced/

Screenshots


https://rapidgator.net/file/f2e992a4910027b802edf953c5112878/Azure_Cognitive_Search_-_With_Real_Life_Example_(Advanced).part1.rar.html
https://rapidgator.net/file/fa684083610bfe6cfebf8bfdb5434b39/Azure_Cognitive_Search_-_With_Real_Life_Example_(Advanced).part2.rar.html

https://uploadgig.com/file/download/3B19cb44e287fbDd/Azure%20Cognitive%20Search%20-%20With%20Real%20Life%20Example%20Advanced.part1.rar
https://uploadgig.com/file/download/a647e60586ce8Bfc/Azure%20Cognitive%20Search%20-%20With%20Real%20Life%20Example%20Advanced.part2.rar