Go Global: Processing Tens of Different Event Types on a Generic Data Lake Architecture (Hebrew)

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Published on 16 Sep 2020, 19:28
Learn how Go Global processes tens of different event types on a generic data lake architecture. Go Global built a platform that analyzes searches performed by people who plan travel and vacations. One of Go Global's challenges is dealing with tens of different event types, which keep growing quickly. Go Global built a data lake based on Amazon S3, Amazon Kinesis Firehose, AWS Step Functions, Amazon Athena, Amazon Redshift, and Amazon Elasticsearch Service while upholding the best practices of data lake architecture. This is a good example of a data lake architecture with materialized views in Redshift and Elasticsearch, enabling different types of users' access to the data, to perform slicing and dicing according to their needs.

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