Category: Amazon Web Services
-
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.
-
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%.
-
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.
-
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.
-
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.
-
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.
-
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.
-
Implementing End-to-End Data Lineage for Complex Analytics using AWS Services and dbt
Discover how to build comprehensive data lineage for one-time and complex queries using Amazon Athena, Redshift, and Neptune. Learn about unified data modeling with dbt and automated lineage generation through AWS serverless architecture.
-
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.