Remove Document Remove Metadata Remove Snapshot
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Accelerate your migration to Amazon OpenSearch Service with Reindexing-from-Snapshot

AWS Big Data

In this post, we will introduce a new mechanism called Reindexing-from-Snapshot (RFS), and explain how it can address your concerns and simplify migrating to OpenSearch. Operations on that document are then routed to the same shard (though the shard might have replicas).

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Manage concurrent write conflicts in Apache Iceberg on the AWS Glue Data Catalog

AWS Big Data

However, commits can still fail if the latest metadata is updated after the base metadata version is established. Iceberg uses a layered architecture to manage table state and data: Catalog layer Maintains a pointer to the current table metadata file, serving as the single source of truth for table state.

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

AWS Big Data

In this blog post, we’ll discuss how the metadata layer of Apache Iceberg can be used to make data lakes more efficient. You will learn about an open-source solution that can collect important metrics from the Iceberg metadata layer. This ensures that each change is tracked and reversible, enhancing data governance and auditability.

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Amazon OpenSearch Service Under the Hood : OpenSearch Optimized Instances(OR1)

AWS Big Data

The following diagram illustrates an indexing flow involving a metadata update in OR1 During indexing operations, individual documents are indexed into Lucene and also appended to a write-ahead log also known as a translog. So how do snapshots work when we already have the data present on Amazon S3?

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CRM’s Have a Big Data Technical Debt Problem: Here’s How to Fix It

Smart Data Collective

Metazoa is the company behind the Salesforce ecosystem’s top software toolset for org management, Metazoa Snapshot. Created in 2006, Snapshot was the first CRM management solution designed specifically for Salesforce and was one of the first Apps to be offered on the Salesforce AppExchange. Unused assets.

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Use Amazon Athena with Spark SQL for your open-source transactional table formats

AWS Big Data

These formats enable ACID (atomicity, consistency, isolation, durability) transactions, upserts, and deletes, and advanced features such as time travel and snapshots that were previously only available in data warehouses. It will never remove files that are still required by a non-expired snapshot.

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Proposals for model vulnerability and security

O'Reilly on Data

These accurate and interpretable models are easier to document and debug than classic machine learning blackboxes. Model documentation and explanation techniques : Model documentation is a risk-mitigation strategy that has been used for decades in banking. Interpretable, fair, or private models : The techniques now exist (e.g.,

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