Category: Data Engineering
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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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Implementing Streaming Data Governance with Amazon DataZone and DSF on AWS
Discover how to implement comprehensive streaming data governance using Amazon DataZone and the Data Solutions Framework on AWS. Learn about custom asset types, authorization flows, and best practices for managing real-time data streams securely and efficiently.
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Revolutionizing Data Engineering: How Gemini in BigQuery Transforms Data Management
Discover how Gemini in BigQuery is revolutionizing data engineering through automated schema management, enhanced data quality control, and sophisticated data generation capabilities. Learn practical implementations and best practices for modern data solutions.
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Building Netflix’s Impression System: Powering Personalized Content Discovery at Scale
Explore Netflix’s innovative impression system that processes billions of user interactions daily to power personalized content discovery. Learn how this sophisticated architecture combines real-time processing with historical data analysis for enhanced user experiences.
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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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How Aqua Security Leverages AWS Step Functions for Scalable Data Export Solutions
Discover how Aqua Security revolutionized their data export process using AWS Step Functions and Aurora PostgreSQL. Learn about their journey in implementing a scalable, secure, and efficient solution for managing enterprise-level security data.
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Implementing Hybrid Analytics with Amazon EMR on AWS Outposts
Discover how Amazon EMR on AWS Outposts enables powerful hybrid analytics, combining cloud scalability with on-premises control. Learn to process sensitive data locally while accessing cloud resources for comprehensive big data solutions.
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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.