Remove Data Integration Remove Risk Remove Snapshot
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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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Build a high-performance quant research platform with Apache Iceberg

AWS Big Data

Iceberg provides time travel and snapshotting capabilities out of the box to manage lookahead bias that could be embedded in the data (such as delayed data delivery). Simplified data corrections and updates Iceberg enhances data management for quants in capital markets through its robust insert, delete, and update capabilities.

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Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO Business Intelligence

However, as model training becomes more advanced and the need increases for ever more data to train, these problems will be magnified. As the next generation of AI training and fine-tuning workloads takes shape, limits to existing infrastructure will risk slowing innovation. Seamless data integration.

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Monitoring Apache Iceberg metadata layer using AWS Lambda, AWS Glue, and AWS CloudWatch

AWS Big Data

This ensures that each change is tracked and reversible, enhancing data governance and auditability. History and versioning : Iceberg’s versioning feature captures every change in table metadata as immutable snapshots, facilitating data integrity, historical views, and rollbacks.

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Proposals for model vulnerability and security

O'Reilly on Data

Like many others, I’ve known for some time that machine learning models themselves could pose security risks. Data integrity constraints: Many databases don’t allow for strange or unrealistic combinations of input variables and this could potentially thwart watermarking attacks. Disparate impact analysis: see section 1.

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Implement disaster recovery with Amazon Redshift

AWS Big Data

This post outlines proactive steps you can take to mitigate the risks associated with unexpected disruptions and make sure your organization is better prepared to respond and recover Amazon Redshift in the event of a disaster. Amazon Redshift supports two kinds of snapshots: automatic and manual, which can be used to recover data.

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iostudio delivers key metrics to public sector recruiters with Amazon QuickSight

AWS Big Data

Our previous solution offered visualization of key metrics, but point-in-time snapshots produced only in PDF format. Our client had previously been using a data integration tool called Pentaho to get data from different sources into one place, which wasn’t an optimal solution.

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