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Achieve data resilience using Amazon OpenSearch Service disaster recovery with snapshot and restore

AWS Big Data

This post focuses on introducing an active-passive approach using a snapshot and restore strategy. Snapshot and restore in OpenSearch Service The snapshot and restore strategy in OpenSearch Service involves creating point-in-time backups, known as snapshots , of your OpenSearch domain.

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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

Snapshots are crucial for data backup and disaster recovery in Amazon OpenSearch Service. These snapshots allow you to generate backups of your domain indexes and cluster state at specific moments and save them in a reliable storage location such as Amazon Simple Storage Service (Amazon S3). Snapshots are not instantaneous.

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Achieve near real time operational analytics using Amazon Aurora PostgreSQL zero-ETL integration with Amazon Redshift

AWS Big Data

Create a role in the target account with the following permissions: { "Version":"2012-10-17", "Statement":[ { "Effect":"Allow", "Action":[ "redshift:DescribeClusters", "redshift-serverless:ListNamespaces" ], "Resource":[ "*" ] } ] } The role must have the following trust policy, which specifies the target account ID.

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Getting started guide for near-real time operational analytics using Amazon Aurora zero-ETL integration with Amazon Redshift

AWS Big Data

Create a role in the target account with the following permissions: { "Version":"2012-10-17", "Statement":[ { "Effect":"Allow", "Action":[ "redshift:DescribeClusters", "redshift-serverless:ListNamespaces" ], "Resource":[ "*" ] } ] } The role must have the following trust policy, which specifies the target account ID. Choose Create policy.

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Break data silos and stream your CDC data with Amazon Redshift streaming and Amazon MSK

AWS Big Data

Valid values for OP field are: c = create u = update d = delete r = read (applies to only snapshots) The following diagram illustrates the solution architecture: The solution workflow consists of the following steps: Amazon Aurora MySQL has a binary log (i.e., He works with AWS customers to design and build real time data processing systems.

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Amazon DataZone now integrates with AWS Glue Data Quality and external data quality solutions

AWS Big Data

By analyzing the historical report snapshot, you can identify areas for improvement, implement changes, and measure the effectiveness of those changes. He enjoys helping large companies with the adoption of cloud technologies, and his area of expertise is mainly focused on Data Analytics and Data Management.

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Bionic Eye, Disease Control, Time Crystal Research Powered by IO500 Top Storage Systems

CIO Business Intelligence

The concept of a time crystal was first offered in 2012 by Frank Wilczek, a theoretical physicist, mathematician, and Nobel laureate. . Intel® Technologies Move Analytics Forward. Data analytics is the key to unlocking the most value you can extract from data across your organization.