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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. Documents are parsed from the snapshot and then reindexed to the target cluster, so that performance impact to the source clusters is minimized during migration.

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Run Apache XTable in AWS Lambda for background conversion of open table formats

AWS Big Data

Central to a transactional data lake are open table formats (OTFs) such as Apache Hudi , Apache Iceberg , and Delta Lake , which act as a metadata layer over columnar formats. In March 2024, the project was donated to the Apache Software Foundation (ASF) and rebranded as Apache XTable, where it is now incubating.

Metadata 101
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Use open table format libraries on AWS Glue 5.0 for Apache Spark

AWS Big Data

Branching Branches are independent lineage of snapshot history that point to the head of each lineage. An Iceberg table’s metadata stores a history of snapshots, which are updated with each transaction. Iceberg implements features such as table versioning and concurrency control through the lineage of these snapshots.

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Build Write-Audit-Publish pattern with Apache Iceberg branching and AWS Glue Data Quality

AWS Big Data

The metadata of an Iceberg table stores a history of snapshots. These snapshots, created for each change to the table, are fundamental to concurrent access control and table versioning. Branches are independent histories of snapshots branched from another branch, and each branch can be referred to and updated separately.

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

CIO Business Intelligence

For AI to be effective, the relevant data must be easily discoverable and accessible, which requires powerful metadata management and data exploration tools. An enhanced metadata management engine helps customers understand all the data assets in their organization so that they can simplify model training and fine tuning.

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

Smart Data Collective

In software development, technical debt is often defined as the cost of choosing an easy solution now instead of a better approach that might take longer. Metazoa is the company behind the Salesforce ecosystem’s top software toolset for org management, Metazoa Snapshot. Tools like Metazoa Snapshot make it painless, however.

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