DevOps Articles

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Preview: Amazon OpenSearch Serverless – Run Search and Analytics Workloads

2 years ago aws.amazon.com

Summary: This is a summary of an article originally published by AWS DevOps Blog. Read the full original article here →

https://aws.amazon.com/polly/ Most AWS analytics services have compelling serverless offerings that make it even easier for customers to analyze vast amounts of data without having to configure, scale, or manage the underlying infrastructure. Along with other serverless analytics, such as https://aws.amazon.com/quicksight/ for business intelligence and https://aws.amazon.com/glue for data integration, we have introduced https://aws.amazon.com/blogs/aws/amazon-emr-serverless-now-generally-available-run-big-data-applications-without-managing-servers/, https://aws.amazon.com/blogs/aws/amazon-msk-serverless-now-generally-available-no-more-capacity-planning-for-your-managed-kafka-clusters/, and https://aws.amazon.com/blogs/aws/amazon-redshift-serverless-now-generally-available-with-new-capabilities/ this year.

Upload and Search Data in Your Collection Before uploading and searching data in your collection, configure the IAM policy to access the actual data within a collection. Choose Data access policies in the left navigation pane and Create data access policy.

Sign in to OpenSearch Dashboards using the AWS access and secret keys for the principal that you specified in your data access policy.

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