Building Metadata Catalogs for Data Lakes with Elasticsearch Service – 2017 AWS Online Tech Talks – #AWS

Learning Objectives:
– Understand the search and visualization capabilities of Amazon Elasticsearch Service
– Learn how to set up Amazon Kinesis Firehose to ingesting, transform and load document metadata into Amazon Elasticsearch Service
– Learn best practices for building a metadata repository 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.

About The Author
- Launched in 2006, Amazon Web Services offers a robust, fully featured technology infrastructure platform in the cloud comprised of a broad set of compute, storage, database, analytics, application, and deployment services from data center locations in the U.S., Australia, Brazil, China, Germany, Ireland, Japan, and Singapore. More than a million customers, including fast-growing startups, large enterprises, and government agencies across 190 countries, rely on AWS services to innovate quickly, lower IT costs and scale applications globally. To learn more about AWS, visit

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