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Amazon OpenSearch Service 101: How many shards do I need

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Introducing MCP Server for Apache Spark History Server for AI-powered debugging and optimization

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Improve RabbitMQ performance on Amazon MQ with AWS Graviton3-based M7g instances

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Accelerating development with the AWS Data Processing MCP Server and Agent

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Workload management in OpenSearch-based multi-tenant centralized logging platforms

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Optimizing vector search using Amazon S3 Vectors and Amazon OpenSearch Service

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Unifying data insights with Amazon QuickSight and Amazon SageMaker

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Integrating Amazon OpenSearch Ingestion with Amazon RDS and Amazon Aurora

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Scale your AWS Glue for Apache Spark jobs with R type, G.12X, and G.16X workers

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Unifying metadata governance across Amazon SageMaker and Collibra

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Compaction support for Avro and ORC file formats in Apache Iceberg tables in Amazon S3

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Introducing Jobs in Amazon SageMaker

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Orchestrate data processing jobs, querybooks, and notebooks using visual workflow experience in Amazon SageMaker

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Revenue NSW modernises analytics with AWS, enabling unified and scalable data management, processing, and access

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Harnessing the Power of Nested Materialized Views and exploring Cascading Refresh

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Realizing ocean data democratization: Furuno Electric’s initiatives using Amazon DataZone

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Geospatial data lakes with Amazon Redshift

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Develop and monitor a Spark application using existing data in Amazon S3 with Amazon SageMaker Unified Studio

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Perform per-project cost allocation in Amazon SageMaker Unified Studio

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Near real-time baggage operational insights for airlines using Amazon Kinesis Data Streams

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