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

AWS Big Data

in Amazon OpenSearch Service , we introduced Snapshot Management , which automates the process of taking snapshots of your domain. Snapshot Management helps you create point-in-time backups of your domain using OpenSearch Dashboards, including both data and configuration settings (for visualizations and dashboards).

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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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Apache HBase online migration to Amazon EMR

AWS Big Data

HBase can run on Hadoop Distributed File System (HDFS) or Amazon Simple Storage Service (Amazon S3) , and can host very large tables with billions of rows and millions of columns. And during HBase migration, you can export the snapshot files to S3 and use them for recovery. Using BucketCache to improve read performance after migration.

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Implement data warehousing solution using dbt on Amazon Redshift

AWS Big Data

For more information, refer SQL models. Snapshots – These implements type-2 slowly changing dimensions (SCDs) over mutable source tables. Tests – These are assertions you make about your models and other resources in your dbt project (such as sources, seeds, and snapshots). For more information, refer to Redshift set up.

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Implement disaster recovery with Amazon Redshift

AWS Big Data

With built-in features such as automated snapshots and cross-Region replication, you can enhance your disaster resilience with Amazon Redshift. Amazon Redshift supports two kinds of snapshots: automatic and manual, which can be used to recover data. Snapshots are point-in-time backups of the Redshift data warehouse.

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Top 20 most-asked questions about Amazon RDS for Db2 answered

IBM Big Data Hub

Refer to the Amazon RDS for Db2 pricing page for instances supported. Are there any constraints on the number of databases that can be hosted on an instance? If you require hosting multiple databases per instance, connect with an IBM or AWS representative to discuss your needs and request a proof of concept.   13.