Reindexing & Rebuilding Indexes

This lesson is outdated.

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.