Microsoft Azure Cloud Solutions – Web – Azure Cognitive Search
Azure Cognitive Search, that is commonly known as Azure Search is basically a cloud search service from Azure that will help the developers to search for APIs, infrastructure, and tools. It is meant to offer a great search experience to the users so that they can easily avail private and heterogeneous content on the web, in the mobile and more. Also, this comes in the form of enterprise applications which is intended to make things easy and flexible over the available interface. Search is absolutely basic and fundamental for any app where you are offering texts to the users, be it in the form of documents, applications, catalog, online retail apps or others. You are certainly going to work with a lot of other capabilities as well when you are developing a search service, which includes a search engine with a full text search over, and then a search index containing the user owned contents.

Web Azure Cognitive Search is an amazing innovation from Microsoft which allows you to find things easily and in a much more organized manner. Content extraction and transformation are made simpler than ever, with lexical analysis and AI enrichment. There is also a query syntax which is meant for any sort of text search, geo-search and more. You will also have an access to the client libraries in Azure SDKs and get through the programmability through REST APIs. You will even get to see the Azure integration in the Machine learning layer, AI and in the data layer. In a nutshell, the search service handles the external unindexed data alongside the ones that sends query requests and then, again gets the responsibility for handling the response.

What is so special about Azure Cognitive Search?

Azure Cognitive Search is well known for its indexing capabilities wherein it loads all the contents into your search engine and thus, makes the issues searchable and available at ease to the users around! You may choose to process your inbound texts in the form of tokens and then they could be scanned right from there! You can also opt to serialize your documents into JSON. With the use of cognitive skills, you may opt for AI enrichment and extract the text embedded in the files by simply analyzing the contents therein! The best thing about cognitive search is well suited by consolidated heterogeneous content into a user defined, and private search index. The other jobs of this search service are query workload management and offload indexing.

Advantages of Azure Cognitive Search

The main purpose of Azure Cognitive Search is to facilitate the users with searchable chunks of data so that they can easily find solutions to their queries within the dedicated environment. From transforming large undifferentiated files and texts to that of implementing various search related features such as relevance tuning, geo spatial search and filters, alongside faceted navigation, this platform is just apt for all your tasks. Here are a few benefits of the tool listed below: 

  • Built-in AI capabilities to enrich your information
  • Identify and explore the relevant contents at a scale
  • Use of cognitive skills for language, speech and vision
  • Derive insights to rank the search results which are more relevant to the context
  • Lesser time in maintaining a complex cloud solution

Bottom line:

Over other databases and content stores on the Azure, this cognitive search delivers you the provision to opt for full text search workloads at ease!

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