MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 ChDifficulty: Intermediate | Genre: eLearning | Language: English | Duration: 7 Lectures (38m) | Size: 111.4 MB

This course will focus on the skills required to manage and maintain the indexing process for an Azure Cognitive Search solution.

As data changes within a given data source, the requirement to rebuild an index or set up the schedule for an index becomes very important. Understanding all of the functions related to the indexing process is important when you know that there are going to be periodic updates to the underlying data source, and this course will teach you the skills to perform all of those functions.
Manage re-indexing
Rebuild indexes
Schedule and monitor indexing
Implement incremental indexing
Manage concurrency
Push data to an index
Troubleshoot indexing for a pipeline
Developers who will be including full-text search in their applications
Data Eeers focused on providing better accessibility to organizational data
AI Eeers who will be providing AI combined with search functionality in their solutions
Candidates for this course should have a strong understanding of data sources and the operational requirements for those data source changes. Candidates should also be able to use REST-based APIs and SDKs to build knowledge mining solutions on Azure.






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