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Achieve data resilience using Amazon OpenSearch Service disaster recovery with snapshot and restore

AWS Big Data

OpenSearch is a distributed search and analytics engine, which is an open-source project. OpenSearch Service seamlessly integrates with other AWS offerings, providing a robust solution for building scalable and resilient search and analytics applications in the cloud.

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

AWS Big Data

Metadata layer Contains metadata files that track table history, schema evolution, and snapshot information. In many operations (like OVERWRITE, MERGE, and DELETE), the query engine needs to know which files or rows are relevant, so it reads the current table snapshot. This is optional for operations like INSERT.

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Explore the World through your Photos with GeoSpy.AI

Analytics Vidhya

Introduction In the age of advanced technology, GeoSpy.AI Whether it’s a snapshot of a suburban street, a rural landscape, or a city corner, GeoSpy.AI appeared first on Analytics Vidhya. Whether it’s a snapshot of a suburban street, a rural landscape, or a city corner, GeoSpy.AI appeared first on Analytics Vidhya.

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

AWS Big Data

By providing a standardized framework for data representation, open table formats break down data silos, enhance data quality, and accelerate analytics at scale. Branching Branches are independent lineage of snapshot history that point to the head of each lineage. These are useful for flexible data lifecycle management.

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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). Icebergs time travel capability is driven by a concept called snapshots , which are recorded in metadata files.

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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

One-time and complex queries are two common scenarios in enterprise data analytics. These complex queries typically involve data sources from multiple business systems, requiring multilevel nested SQL or associations with numerous tables for highly sophisticated analytical tasks.