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In-Stream Big Data Processing

Highly Scalable

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. Incremental computations over sliding windows is a group of techniques that are widely used in digital signal processing, in both software and hardware. Apache Spark [10]. References.

Big Data 154
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Using Real-Time Digital Twins for Aggregate Analytics

ScaleOut Software

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.

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Using Real-Time Digital Twins for Aggregate Analytics

ScaleOut Software

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.

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

All Things Distributed

With the launch of the AWS Europe (London) Region, AWS can enable many more UK enterprise, public sector and startup customers to reduce IT costs, address data locality needs, and embark on rapid transformations in critical new areas, such as big data analysis and Internet of Things.

AWS 166
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Expanding the Cloud: Introducing Amazon QuickSight

All Things Distributed

Today, I am excited to share with you a brand new service called Amazon QuickSight that aims to simplify the process of deriving insights from a wide variety of data sources in a fast and affordable manner. Big data challenges. We believe this is one of the critical parts of our big data offerings.

Cloud 137
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Bringing the Magic of Amazon AI and Alexa to Apps on AWS.

All Things Distributed

Developers can simply specify a few sample phrases and the information required to complete a user's task, and Lex builds the deep learning based intent model, guides the conversation, and executes the business logic using AWS Lambda. Developers can build, test, and deploy chatbots directly from the AWS Management Console.

AWS 165