Paginate results

In this video, we walk you through the four main pagination methods within Amazon OpenSearch Service: From and Size, Scroll, Search After, and Point in Time (PIT). We'll show you how to implement these pagination techniques effectively using a Jupyter notebook. This guide will empower you to optimize your search queries and improve user experience. For more info on OpenSearch pagination, check out the official documentation here: https://go.aws/3PUgdpO Subscribe: More Amazon OpenSearch Service videos: https://go.aws/3Ed3P1E More AWS videos: https://go.aws/4gjiGVu ABOUT Amazon OpenSearch Service: Amazon OpenSearch Service is a managed service that makes it easy to perform interactive log analytics, real-time application monitoring, website search, and more. OpenSearch is an open source, distributed search and analytics suite derived from Elasticsearch. The service supports the latest versions of OpenSearch and multiple versions of Elasticsearch, along with visualization capabilities powered by OpenSearch Dashboards and Kibana. 00:00 – Intro 00:24 – What is Pagination? 01:08 – From and Size method 01:50 – Scroll search method 02:20 – Search After method 02:53 – Point in Time method 03:23 – DEMO: From and Size 05:15 – DEMO: Scroll search 06:30 – DEMO: Search After 07:37 – DEMO: Point in Time 08:45 - Outro #AWS #AmazonWebServices #CloudComputing #OpenSearchService #Pagination #PaginateResults #SearchOptimization