Building a Metadata Catalog for your Data Lakes using Amazon Elasticsearch Service


Building a Metadata Catalog for your Data Lakes using Amazon Elasticsearch Service


Data lakes can consist of massive amounts of unstructured data that makes it difficult to search and explore them. You can use Amazon Elasticsearch Service to easily index and search the metadata and the content of the documents in your data lakes. In this tech talk, you will learn how to use Amazon Elasticsearch Service build a metadata repository for your data lake and index the contents of your documents so you can easily locate files by the text contained in them.

When: July 11 | 10:30 AM - 11:10 AM PT | 1:30 PM - 2:10 PM ET

Learning Objectives:
• Understand the search and visualization capabilities of Amazon Elasticsearch Service
• Learn how to set up Amazon Kinesis Firehose to ingesting, transform and laod document metadata into Amazon Elasticsearch Service
• Learn best practices for building a metadata repository for your data lakes using Amazon Elasticsearch Service

Who Should Attend: Technical Decision Makers, Data Engineers, Big Data Developers

Speakers: Jon Handler, Principal Solutions Architect, AWS

Register for the Webinar