Announcing Athena connector for Amazon Lookout for Metrics
AWS Lookout for Metrics announces the launch of the Athena connector, a new connector in Lookout for Metrics that allows you to query data from various data sources such as Data Lake on AWS, Amazon S3, Amazon Redshift to ingest into Amazon Lookout for Metrics for anomaly detection. The Athena connector reduces the need to setup complex ETL jobs and data preparation time for anomaly detection. You can query large datasets using standard SQL and analyze it before ingesting in an anomaly detector. The Athena connector supports data formatted in CSV, JSON, ORC (Optimized Row Columnar), Parquet, XML, plain text and AVRO.
AWS Lookout for Metrics announces the launch of the Athena connector, a new connector in Lookout for Metrics that allows you to query data from various data sources such as Data Lake on AWS, Amazon S3, Amazon Redshift to ingest into Amazon Lookout for Metrics for anomaly detection. The Athena connector reduces the need to setup complex ETL jobs and data preparation time for anomaly detection. You can query large datasets using standard SQL and analyze it before ingesting in an anomaly detector. The Athena connector supports data formatted in CSV, JSON, ORC (Optimized Row Columnar), Parquet, XML, plain text and AVRO.
Starting today Athena connector for Lookout for Metrics is available in all regions where Amazon Lookout for Metrics is supported. To learn more, see this blog. You can use this capability in all Regions where Amazon Lookout for Metrics is publicly available. For more information about Region availability, see AWS Regional Services.
There is no additional charge for using Athena connector with Amazon Lookout for Metrics. However, you will incur charges for the queries executed on Amazon Athena and amount of data scanned(refer to Amazon Athena pricing page for more details). To learn more, refer to our user guide on Amazon Lookout for Metrics.