Remove 2012 Remove Data Processing Remove Testing
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Manage Amazon OpenSearch Service Visualizations, Alerts, and More with GitHub and Jenkins

AWS Big Data

It is advised to discourage contributors from making changes directly to the production OpenSearch Service domain and instead implement a gatekeeper process to validate and test the changes before moving them to OpenSearch Service. Jenkins retrieves JSON files from the GitHub repository and performs validation. Leave the settings as default.

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Take manual snapshots and restore in a different domain spanning across various Regions and accounts in Amazon OpenSearch Service

AWS Big Data

Testing and development – You can use snapshots to create copies of your data for testing or development purposes. The bucket has to be in the same Region where the OpenSearch Service domain is hosted. Migration – Manual snapshots can be useful when you want to migrate data from one domain to another.

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Deliver Amazon CloudWatch logs to Amazon OpenSearch Serverless

AWS Big Data

Select Custom trust policy and paste the following policy into the editor: { "Version":"2012-10-17", "Statement":[ { "Effect":"Allow", "Principal":{ "Service":"osis-pipelines.amazonaws.com" }, "Action":"sts:AssumeRole" } ] } Choose Next, and then search for and select the collection-pipeline-policy you just created.

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Introducing Amazon MSK as a source for Amazon OpenSearch Ingestion

AWS Big Data

arn: " arn:aws:kafka:us-west-2:XXXXXXXXXXXX:cluster/msk-prov-1/id " sink: - opensearch: # Provide an AWS OpenSearch Service domain endpoint # hosts: [ " [link] " ] aws: # Provide a Role ARN with access to the domain. OpenSearch host and index – Specifies the OpenSearch domain URL and where the index should write.

Testing 116
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Design a data mesh pattern for Amazon EMR-based data lakes using AWS Lake Formation with Hive metastore federation

AWS Big Data

Test access to the producer cataloged Amazon S3 data using EMR Serverless in the consumer account. Test access using Athena queries in the consumer account. Test access using SageMaker Studio in the consumer account. It is recommended to use test accounts. The producer account will host the EMR cluster and S3 buckets.

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Orchestrate an end-to-end ETL pipeline using Amazon S3, AWS Glue, and Amazon Redshift Serverless with Amazon MWAA

AWS Big Data

In the second account, Amazon MWAA is hosted in one VPC and Redshift Serverless in a different VPC, which are connected through VPC peering. The policies attached to the Amazon MWAA role have full access and must only be used for testing purposes in a secure test environment.

Metadata 112
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Unleash the power of Snapshot Management to take automated snapshots using Amazon OpenSearch Service

AWS Big Data

You can use these snapshots to restore your cluster to a specific state, recover from potential failures, and even clone environments for testing or development purposes. Provide your host name, Region, snapshot repo name, and S3 bucket. Replace "arn:aws:iam::123456789012:role/SnapshotRole" with the ARN of your SnapshotRole.