Create your document processing pipelines with project Lakechain
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المحتوى المقدم من Sébastien Stormacq and Amazon Web Services. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة Sébastien Stormacq and Amazon Web Services أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.
In this episode of the AWS Developers Podcast, Seb and Brooke Jamieson interview Halim Qarroum, the head of application prototyping at AWS, about the document processing pipeline. They discuss the concept of a document processing pipeline, the typical use cases for processing documents, and how Lake Chain, an open-source framework developed by Halim and his team, simplifies the process of building document processing pipelines. They also explore the architecture of Lake Chain, including the use of SQS and SNS as the messaging system, and the integration of various AWS services and open-source machine learning models. The episode concludes with a discussion on future plans for Lake Chain and how developers can contribute to the project.
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With Halim Qarroum, Manager, Application Prototyping and Brooke Jamieson, Developer Advocate, AWS.
Links
Here are the links to the tools, technologies, or articles we mentioned in this episode.
- Lakechain, a framework to implement and deploy tour document processing pipelines.
- The Cloud Development Kit (CDK)
- Werner’s video about the Cloud Development Kit (CDK)
- AWS Developers Podcast episode 126 : Domain-driven design for cloud automation
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