Implementing an Azure Cognitive Search Solution

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Brian Harrison

1:00:15

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1. Introduction.mp4

04:03

2. Creating a Search Service.mp4

09:03

3. Importing Data into Search Service.mp4

11:08

4. Creating & Testing a Search Index.mp4

13:26

5. AutoComplete & AutoSuggest.mp4

07:44

6. Improving Results Based on Relevance.mp4

08:49

7. Implementing Synonyms.mp4

03:25

8. Summary.mp4

02:37

Description

This lesson focuses on the skills necessary to implement a knowledge-mining solution with a focus on the Cognitive Search solution. The lesson will walk through how to create a Cognitive Search solution and how to set up the process for importing data. Once the data sources have been set up properly, the lesson will teach you how to create a search index and then how to configure it to provide the best results possible.

Learning Objectives

Create a Cognitive Search solution
Import from data sources
Create, configure, and test indexes
Configure AutoComplete and AutoSuggest
Improve results based on relevance
Implement synonyms

Intended Audience

Developers who want to include full-text search in their applications
Data engineers focused on providing better accessibility to organizational data
AI engineers that provide AI combined with search functionality in their solutions

Prerequisites

To get the most out of this lesson, you should:

Have a strong understanding of data sources and how data will be needed by users consuming a Cognitive Search solution
Be able to use REST-based APIs and SDKs to build knowledge-mining solutions on Azure

Resources

https://github.com/brharr/azure-search-examples

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Artificial Intelligence

Microsoft Azure

Brian Harrison

Instructor's Courses

Brian has been working in the Cloud space for more than a decade as both a Cloud Architect and Cloud Engineer. He has experience building Application Development, Infrastructure, and AI-based architectures using many different OSS and Non-OSS based technologies. In addition to his work at Pluralsight, he is always trying to educate customers about how to get started in the cloud with his many blogs and videos. He is currently working as a Cloud Solution Architect for Microsoft designing solutions using his many areas of experience.

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