Remove 2019 Remove AWS Remove Data Engineering
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Advance environmental sustainability in clinical trials using AWS

AWS Machine Learning Blog

AWS can play a key role in enabling fast implementation of these decentralized clinical trials. By exploring these AWS powered alternatives, we aim to demonstrate how organizations can drive progress towards more environmentally friendly clinical research practices.

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Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions

AWS Machine Learning Blog

In this post, we describe the end-to-end workforce management system that begins with location-specific demand forecast, followed by courier workforce planning and shift assignment using Amazon Forecast and AWS Step Functions. AWS Step Functions automatically initiate and monitor these workflows by simplifying error handling.

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The thin line between data science and data engineering

KDnuggets

Today, as companies have finally come to understand the value that data science can bring, more and more emphasis is being placed on the implementation of data science in production systems.

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Tableau + AWS: Accelerating your digital transformation with Modern Cloud Analytics

Tableau

November 25, 2019 - 4:39am. Having a comprehensive technology stack in the cloud can support the data integration, self-service analytics, and use cases that businesses need to digitally transform and achieve analytics at scale. Core product integration and connectivity between Tableau and AWS. Jason Dudek. Kevin Glover.

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Tableau + AWS: Accelerating your digital transformation with Modern Cloud Analytics

Tableau

November 25, 2019 - 4:39am. Having a comprehensive technology stack in the cloud can support the data integration, self-service analytics, and use cases that businesses need to digitally transform and achieve analytics at scale. Core product integration and connectivity between Tableau and AWS. Jason Dudek. Kevin Glover.

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Tableau + AWS: Accelerating your digital transformation with Modern Cloud Analytics

Tableau

November 25, 2019 - 4:39am. Having a comprehensive technology stack in the cloud can support the data integration, self-service analytics, and use cases that businesses need to digitally transform and achieve analytics at scale. Core product integration and connectivity between Tableau and AWS. Jason Dudek. Kevin Glover.

Tableau 52
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Experience the new and improved Amazon SageMaker Studio

AWS Machine Learning Blog

Launched in 2019, Amazon SageMaker Studio provides one place for all end-to-end machine learning (ML) workflows, from data preparation, building and experimentation, training, hosting, and monitoring. Lauren Mullennex is a Senior AI/ML Specialist Solutions Architect at AWS. In his spare time, he loves traveling and writing.

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