Tag: Redshift
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Accelerate Data to AI Innovation with Amazon SageMaker Unified Studio
AWS announces the general availability of Amazon SageMaker Unified Studio, bringing together analytics and AI capabilities in a single development environment. This integrated platform enables teams to discover data, collaborate on projects, and build advanced applications with built-in governance, dramatically reducing time-to-value for data-driven initiatives.
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Cross-Account Data Collaboration with Amazon DataZone and AWS Analytics Tools
Amazon DataZone enables secure cross-account data collaboration for AWS services. This solution streamlines data sharing between producer and consumer accounts while maintaining governance. Learn how to set up, publish, and consume shared data assets across accounts using AWS Glue and Amazon Redshift.
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How Open Universities Australia Reduced ETL Costs Using AWS Cloud Services
Discover how Open Universities Australia revolutionized their data infrastructure by transitioning from costly third-party ETL tools to AWS services, achieving significant cost savings and improved efficiency in just 5 months.
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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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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.
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Optimize ETL Workflows with Amazon Redshift Data API’s Persistent Sessions Feature
Discover how Amazon Redshift’s Data API session reuse capability revolutionizes ETL workflows by enabling persistent database sessions, optimizing connection management, and streamlining multi-step data transformation processes.