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Опубликовано 4 января 2021, 23:17
The Game Analytics Pipeline solution helps game developers launch a scalable serverless data pipeline to ingest, store, and analyze telemetry data generated from games and services. The solution supports streaming ingestion of data, allowing users to gain insights from their games and other applications within minutes. The solution provides a REST API and Amazon Kinesis services for ingesting and processing game telemetry. It automatically validates, transforms, and delivers data to Amazon Simple Storage Service (Amazon S3) in a format optimized for cost-effective storage and analytics.
The solution provides data lake integration by organizing and structuring data in Amazon S3 and configuring AWS Glue to catalog metadata for datasets, which makes it easy to integrate and share data with other applications and users. The solution is designed to provide a framework for ingesting game events into your data lake for analytics and storage, allowing you to focus on expanding the solution functionality rather than managing the underlying infrastructure operations. In this video, we demonstrate how to easily deploy this solution and use Amazon Athena's Federated queries to query any data source.
Learn more about the Game Analytics Pipeline at - amzn.to/3mRTx8Y
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The solution provides data lake integration by organizing and structuring data in Amazon S3 and configuring AWS Glue to catalog metadata for datasets, which makes it easy to integrate and share data with other applications and users. The solution is designed to provide a framework for ingesting game events into your data lake for analytics and storage, allowing you to focus on expanding the solution functionality rather than managing the underlying infrastructure operations. In this video, we demonstrate how to easily deploy this solution and use Amazon Athena's Federated queries to query any data source.
Learn more about the Game Analytics Pipeline at - amzn.to/3mRTx8Y
Subscribe:
More AWS videos bit.ly/2O3zS75
More AWS events videos bit.ly/316g9t4
#AWS
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