Elastic App Search offers a versatile and powerful mechanism for enabling search capabilities over various types of data, accommodating both web-based and structured data from different sources. The quickest method to integrate data is through the web crawler, introduced in Elastic 7.15, which indexes web content efficiently by crawling URLs and sitemaps. For non-web content or data that doesn’t fit predefined criteria, users can upload JSON files via file upload or text-paste options, though these are subject to a size limit of 100 KB. For large-scale and constantly changing datasets, Elastic provides APIs that facilitate continuous indexing and updating of content, demonstrated through an example of indexing Major League Baseball statistics from a SQL Server database. This process involves transforming relational data into a denormalized format suitable for Elastic, ensuring that large volumes of data are indexed efficiently. Once data is indexed, users can leverage tools like Kibana for data visualization and create customized search experiences. Elastic's flexible ingestion options ensure that regardless of data structure or location, users can build effective search solutions, with further exploration encouraged through a free trial of Elastic Cloud.