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Dutch Enterprises and The Cloud

All Things Distributed

In my many conversations with customers, and with the media, I encountered surprise and excitement about the extent that European enterprises have already been using the Amazon Web Services for some time. Shell leverages AWS for big data analytics to help achieve these goals.

Cloud 129
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Rethinking the 'production' of data

All Things Distributed

Marketers use big data and artificial intelligence to find out more about the future needs of their customers. Today, developers of technology (for example medical technology, software) and platform operators (social media enablers, credit card companies) are at the top. These mechanisms need to be lean, seamless and effective.

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Python at Netflix

The Netflix TechBlog

Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites. Orchestration The Big Data Orchestration team is responsible for providing all of the services and tooling to schedule and execute ETL and Adhoc pipelines.

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Expanding the Cloud: Introducing Amazon QuickSight

All Things Distributed

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift. Big data challenges.

Cloud 137
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Spice up your Analytics: Amazon QuickSight Now Generally Available in N. Virginia, Oregon, and Ireland.

All Things Distributed

They require companies to provision and maintain complex hardware infrastructure and invest in expensive software licenses, maintenance fees, and support fees that cost upwards of thousands of dollars per user per year. Powered by Innovation. Enter Amazon QuickSight.

Analytics 152
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Bringing the Magic of Amazon AI and Alexa to Apps on AWS.

All Things Distributed

The power of Alexa in the hands of every developer, without having to know deep learning technologies like speech recognition, has the potential of sparking innovation in entirely new categories of products and services. Developers can now build powerful conversational interfaces quickly and easily, that operate at any scale, on any device.

AWS 165