Category: Data Analytics
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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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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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Jumia’s Data Platform Modernization: Building Metadata-Driven Frameworks on AWS
Discover how Jumia, Africa’s leading e-commerce platform, transformed its data infrastructure by migrating from Hadoop to AWS serverless solutions, achieving 50% cost reduction through innovative metadata-driven frameworks and standardized workflows.
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How Flo Health Scaled DynamoDB to Support 70M Users: A Cost Optimization Journey
Discover how Flo Health optimized Amazon DynamoDB to efficiently serve 70 million monthly active users while achieving 60% cost reduction. Learn about their implementation of AWS Well-Architected Framework and innovative data optimization strategies.
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Unify Data Access with Amazon SageMaker Lakehouse
Discover how Amazon SageMaker Lakehouse revolutionizes enterprise data management by unifying data warehouse and lake access. Learn about implementation steps, security controls, and analysis capabilities in this comprehensive guide.
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Understanding Concurrency Control in Distributed Databases: Aurora DSQL Implementation Guide
Explore the implementation of concurrency control in distributed databases, focusing on Aurora DSQL’s optimistic approach. Learn best practices for managing transactions, handling exceptions, and maintaining data consistency in distributed systems.