Category: Amazon Web Services
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Enhancing Amazon EMR Observability with Prometheus and Grafana
FINRA enhances Amazon EMR observability using Prometheus and Grafana, addressing challenges like complexity, dynamic environments, and resource utilization. The solution includes real-time data collection, customized dashboards, and automated alerting, optimizing big data processing and operational efficiency.
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Building a CI/CD Pipeline for AWS Glue Studio Visual Jobs
Learn how to streamline AWS Glue Studio visual jobs deployment using an integrated CI/CD pipeline.
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Understanding DynamoDB Warm Throughput: Pre-warming Tables for Optimal Performance
Explore Amazon DynamoDB’s new warm throughput feature that enables pre-warming tables for instant high-traffic handling. Learn about capacity modes, implementation strategies, and real-world use cases for optimized database performance.
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Understanding Time-Series Data: Analytics, Predictions, and Industry Applications
Discover the power of time-series data in modern analytics. Learn how organizations leverage temporal data patterns for predictive insights, anomaly detection, and machine learning applications across various industries.
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Building a Scalable GDPR Data Deletion System with Amazon DynamoDB and Distributed Locks
Discover how to build a scalable GDPR compliance solution using Amazon DynamoDB and distributed locks. Learn about implementing efficient data deletion mechanisms while maintaining operational stability for organizations handling millions of user profiles.
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How to Use Amazon Kinesis Data Streams with OpenSearch Ingestion for Real-Time Log Analytics
Learn how to implement real-time log analytics using Amazon Kinesis Data Streams with OpenSearch Ingestion.
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Unlocking Performance with Incremental Refresh for Amazon Redshift Materialized Views on Data Lake Tables
Discover how Amazon Redshift’s new incremental refresh capability for materialized views on data lake tables can significantly improve query performance and data freshness while maintaining cost-effectiveness.
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Unlock SQL Query Generation with Amazon Q Generative SQL for Amazon Redshift
Explore how Amazon Q generative SQL for Amazon Redshift revolutionizes query writing by leveraging AI to convert natural language into SQL code.
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Building Real-Time Generative AI Applications with Vector Embedding Blueprints for Amazon MSK
Discover how to enhance generative AI applications with real-time data using vector embedding blueprints for Amazon MSK. Learn about RAG architecture, streaming data integration, and simplified deployment processes.