Category: Amazon Web Services
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How EUROGATE Revolutionizes Container Terminal Operations with Amazon DataZone Integration
Discover how EUROGATE transformed its container terminal operations by implementing Amazon DataZone, enabling efficient data sharing, enhanced analytics, and streamlined machine learning capabilities across their European operations.
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Access Amazon S3 Iceberg Tables in Databricks Using AWS Glue and SageMaker Lakehouse
Discover how to seamlessly integrate Databricks with AWS Glue Iceberg REST Catalog and SageMaker Lakehouse. Learn about unified data architecture, security controls, and efficient data access across platforms while maintaining a single source of truth.
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Building Event-Driven Amazon Redshift Lakehouse Architecture for Cloud Excellence at MuleSoft
Explore how MuleSoft implemented a sophisticated lakehouse architecture using AWS services to achieve cloud excellence. Learn about their three-phase approach combining preparation, enrichment, and action to create a comprehensive cloud operations framework.
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How Juicebox Leverages Amazon OpenSearch Service for Advanced Talent Search Solutions
Discover how Juicebox revolutionized talent search using Amazon OpenSearch Service, processing 800 million profiles with advanced semantic search capabilities, reduced latency, and improved candidate matching accuracy by 35%.
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Integrating AWS Glue with Amazon OpenSearch Service for Streamlined Data Ingestion
Discover how to effectively integrate AWS Glue with Amazon OpenSearch Service for streamlined data ingestion. Learn about three powerful integration methods, best practices, and infrastructure setup for building robust data pipelines.
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Optimizing Quant Research with Apache Iceberg: Performance and Productivity Gains
Explore how Apache Iceberg enhances quantitative research platforms through improved query performance, cost reduction, and increased productivity. Learn about its advantages over traditional Parquet files and its impact on data management efficiency.
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HEMA’s Data Governance Transformation: Leveraging Amazon DataZone for Enterprise Success
Discover how HEMA revolutionized their data management by implementing Amazon DataZone, transforming from siloed data systems to an efficient data mesh architecture that enables seamless data sharing and governance across their enterprise.
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Amazon Q Data Integration: Enhanced DataFrame Support and Context-Aware ETL Development
Discover how Amazon Q data integration has evolved with DataFrame support and context-aware development, revolutionizing ETL workflows. Learn about its enhanced capabilities, multiple data source support, and seamless integration with AWS services.