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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. Towards Unified Big Data Processing. Moreover, techniques like Lambda Architecture [6, 7] were developed and adopted to combine these solutions efficiently. References.

Big Data 154
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Expanding the AWS Cloud: Introducing the AWS Canada (Central) Region

All Things Distributed

Today, I'm happy to share that the Canada (Central) Region is available for use by customers worldwide. The AWS Cloud now operates in 40 Availability Zones within 15 geographic regions around the world, with seven more Availability Zones and three more regions coming online in China, France, and the U.K. in the coming year.

AWS 155
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Expanding the AWS Cloud: Introducing the AWS Europe (London) Region

All Things Distributed

Today, I'm happy to announce that the AWS Europe (London) Region, our 16th technology infrastructure region globally, is now generally available for use by customers worldwide. Fraud.net use AWS to support highly scalable, big data applications that run machine learning processes for real-time analytics.

AWS 166
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Bringing the Magic of Amazon AI and Alexa to Apps on AWS.

All Things Distributed

Amazon AI services make the full power of Amazon's natural language understanding, speech recognition, text-to-speech, and image analysis technologies available at any scale, for any app, on any device, anywhere. It is now available to any developer aiming to power their apps with high-quality spoken output. Amazon Lex.

AWS 165
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Expanding the Cloud: Introducing the AWS Asia Pacific (Mumbai) Region

All Things Distributed

Today, I’m happy to announce that the Asia Pacific (Mumbai) Region is generally available for use by customers worldwide. AdiMap uses Amazon Kinesis to process real-time streaming online ad data and job feeds, and processes them for storage in petabyte-scale Amazon Redshift. The opportunity to revolutionize.

AWS 90
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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. Put simply, data is not always readily available and accessible to organizational end users.

Cloud 137
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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.