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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.

Snapshot 101
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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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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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Chart Snapshot: Progressive Bar Charts

The Data Visualisation Catalogue

Progressive Bar Charts sometimes include an additional bar representing the total of all individual segments, providing viewers with a clear reference point for the overall value.

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Chart Snapshot: Bagplots

The Data Visualisation Catalogue

This depth median signifies the point with the highest Tukey depth, providing a central reference point for the data distribution. Basic bagplot geom for ggplot2 Related posts: Further Exploration #5 Multidimensional Boxplot Variations The post Chart Snapshot: Bagplots appeared first on The Data Visualisation Catalogue Blog.

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Chart Snapshot: Alluvial Diagrams + Examples

The Data Visualisation Catalogue

I want to try out writing a series of post that briefly explore a type of visualisation that’s not in the 60 chart reference pages listed on the main part of the website. I already have a long list of charts I want to research and write about, but at the moment it’s too ambitious to go into the depth I would like to go for all of them.

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The AWS Glue Data Catalog now supports storage optimization of Apache Iceberg tables

AWS Big Data

Iceberg creates a new version called a snapshot for every change to the data in the table. Iceberg has features like time travel and rollback that allow you to query data lake snapshots or roll back to previous versions. The Glue Data Catalog honors retention policies for Iceberg branches and tags referencing snapshots.