Category: Data Engineering
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Enhance AWS Glue Data Catalog with Generative AI and Amazon Bedrock
Learn how to automate metadata generation for AWS Glue Data Catalog using foundation models on Amazon Bedrock. This solution explores both in-context learning and RAG approaches to create comprehensive data descriptions for improved data governance.
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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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Netflix’s Distributed Counter Service: Scalable Solution for Real-Time Event Tracking
Explore Netflix’s innovative Distributed Counter Abstraction service, a scalable solution for tracking real-time events.
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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.