Conclusion
This lesson 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 lesson will teach you the skills to perform all of those functions.
Learning Objectives
- Manage re-indexing
- Rebuild indexes
- Schedule and monitor indexing
- Implement incremental indexing
- Manage concurrency
- Push data to an index
- Troubleshoot indexing for a pipeline
Intended Audience
- Developers who will be including full-text search in their applications
- Data Engineers focused on providing better accessibility to organizational data
- AI Engineers who will be providing AI combined with search functionality in their solutions
Prerequisites
Candidates for this lesson 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.
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 Cloud Academy, 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 Lead Azure Engineer in the Public Sector space.