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The AWS Developers Podcast

The AWS Developers Podcast

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 Stay updated on the latest AWS news and insights for developers, wherever you are, whenever you want.All rights reserved
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  • Breaking data silos with Amazon Sagemaker Unified Studio

    Breaking data silos with Amazon Sagemaker Unified Studio
    Jul 18 2025
    Join us as we talk with AWS Hero and data specialist Dipali at the AWS Summit Bangalore about building enterprise data platforms. She shares how her FinTech company moved from scattered data systems to a unified data platform using AWS DataZone and the newly launched Amazon SageMaker Unified Studio. The episode covers practical challenges of connecting data silos, implementing governance, and creating an internal data marketplace. Dipali discusses multi-cloud integration, organizational changes in data sharing, and her team's experience as early adopters of SageMaker Unified Studio. Learn how this combination of tools helps teams access data and develop AI models more efficiently.
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    33 Min.
  • Jupyter Hub on Amazon EKS

    Jupyter Hub on Amazon EKS
    Jul 11 2025
    Dive deep into the world of Jupyter Hub deployment on Amazon EKS. Join us as we explore the challenges and solutions of scaling Jupyter environments in the cloud, from VPN integration to resource optimization. Our guest shares valuable insights on implementing Azure AD authentication, leveraging Karpenter for EC2 management, and integrating powerful tools like Amazon Q and SageMaker. Whether you're a data scientist, engineer, or cloud architect, discover practical approaches to multi-user Jupyter environments and learn how observability plays a crucial role in maintaining robust applications.
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    34 Min.
  • Your next ETL pipeline will be serverless

    Your next ETL pipeline will be serverless
    Jul 4 2025
    In this episode from AWS Summit Bengaluru, Poonam Pratik, Director at The Line Tech UK and AWS Community Builder, discusses practical approaches to serverless ETL implementation. We cover key aspects of data processing including quality control, AWS Glue orchestration, and effective data validation methods. Poonam explains how serverless architectures can reduce operational complexity while maintaining data accuracy. The conversation includes concrete examples of data partitioning, error notification systems, and observability practices. We conclude with a look at how AI and ML are changing data pipeline development.
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    30 Min.

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