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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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Building end-to-end data lineage for one-time and complex queries using Amazon Athena, Amazon Redshift, Amazon Neptune and dbt

AWS Big Data

About the authors Nancy Wu is a Solutions Architect at AWS, responsible for cloud computing architecture consulting and design for multinational enterprise customers.

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In-place version upgrades for applications on Amazon Managed Service for Apache Flink now supported

AWS Big Data

To learn more about the features supported in each Apache Flink version, you can consult the Apache Flink blog , which discusses at length each of the Flink Improvement Proposals (FLIPs) incorporated into each of the versioned releases. This enables you to roll back your application statefully if issues occur during or after your upgrade.

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Proposals for model vulnerability and security

O'Reilly on Data

And at many companies, many different employees, consultants, and contractors have just that—and with little oversight. Residual analysis: Look for strange, prominent patterns in the residuals of your model predictions, especially for employees, consultants, or contractors.

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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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Everything You Need To Know To Get Started With Helpdesk KPIs

datapine

Studies suggest that by 2020, customer experience (CX) will be the main brand differentiator (according to a research conducted by the customer experience consultant company Walker), surpassing factors such as price and product in terms of importance to today’s digitally native consumers.

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Optimize checkpointing in your Amazon Managed Service for Apache Flink applications with buffer debloating and unaligned checkpoints – Part 2

AWS Big Data

We’ve already discussed how checkpoints, when triggered by the job manager, signal all source operators to snapshot their state, which is then broadcasted as a special record called a checkpoint barrier. When barriers from all upstream partitions have arrived, the sub-task takes a snapshot of its state.

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