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
• 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