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Amazon EMR streamlines big data processing with simplified Amazon S3 Glacier access

AWS Big Data

aimed to address these issues, providing more flexibility and cost-effectiveness in big data processing across various storage tiers. In this post, we demonstrate how to set up and use Amazon EMR on EC2 with S3 Glacier for cost-effective data processing. He has been focusing in the big data analytics space since 2013.

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How CIS Credentials Can Launch Your AI Development Career

Smart Data Collective

Ryan Ayers 10 Min Read christina wocintechchat com 6dv3pe jnsg unsplash SHARE Something that we like talking about on Smart Data Collective is how people can turn their computer information systems (CIS) background into real careers in artificial intelligence. You are not limited to research labs or big tech firms anymore.

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Amazon Q data integration adds DataFrame support and in-prompt context-aware job creation

AWS Big Data

To learn more, refer to Amazon Q data integration in AWS Glue. About the Authors Bo Li is a Senior Software Development Engineer on the AWS Glue team. He is devoted to designing and building end-to-end solutions to address customers data analytic and processing needs with cloud-based, data-intensive technologies.

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Introducing generative AI upgrades for Apache Spark in AWS Glue (preview)

AWS Big Data

About the Authors Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team. He is responsible for building software artifacts to help customers. Pradeep Patel is a Software Development Manager on the AWS Glue team. Chuhan Liu is a Software Engineer at AWS Glue.

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Enhance Amazon EMR scaling capabilities with Application Master Placement

AWS Big Data

In today’s data-driven world, processing large datasets efficiently is crucial for businesses to gain insights and maintain a competitive edge. Amazon EMR is a managed big data service designed to handle these large-scale data processing needs across the cloud.

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Manage concurrent write conflicts in Apache Iceberg on the AWS Glue Data Catalog

AWS Big Data

He is particularly passionate about big data technologies and open source software. Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team. He is responsible for building software artifacts to help customers. He works based in Tokyo, Japan.

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Author visual ETL flows on Amazon SageMaker Unified Studio (preview)

AWS Big Data

His areas of interest are serverless technology, data governance, and data-driven AI applications. Noritaka Sekiyama is a Principal Big Data Architect with AWS Analytics services. He is responsible for building software artifacts to help customers. She loves building data analytics features for customers.