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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Greenplum features a cost-based query optimizer for large-scale, big data workloads. Greenplum Advantages.

Big Data 321
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What is APM?

Dynatrace

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications – including your customers and employees. Websites, mobile apps, and business applications are typical use cases for monitoring.

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What is Application Performance Monitoring?

Dynatrace

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course end-users that access these applications – including your customers and employees. APM can also be referred to as: Application performance management. Performance monitoring.

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Expanding the AWS Cloud: Introducing the AWS Europe (London) Region

All Things Distributed

UK companies are using AWS to innovate across diverse industries, such as energy, manufacturing, medicaments, retail, media, and financial services and the UK is home to some of the world's most forward-thinking businesses. All around us we see that the AWS capabilities foster a culture of experimentation with businesses of all sizes.

AWS 166
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Rethinking the 'production' of data

All Things Distributed

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Marketers use big data and artificial intelligence to find out more about the future needs of their customers.

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

All Things Distributed

in ML and neural networks) and access to vast amounts of data. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models. We are in the early days of machine learning and artificial intelligence.

AWS 165