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Sky Italia improves X-Factor performance, lowers costs with AWS

Leading European media and entertainment company and pay-TV provider Sky Italia has revealed how a deployment of a suite of AWS and Amazon technology has led to. ....

Nicola Cremaschini , Leading European , Sky Italia , Amazon Cognito , Amazon Kinesis Data Streams , United States , Sky Italia , X Factor , Amazon Cognito , Ky Ad , Aws Fargate , Amazon Dynamodb , Amazon Kinesis , Data Stream ,

How To Set Up Scroll Depth Tracking In GA4

Learn how your customers are engaging with your content better by measuring scroll depth - here's how via Google Analytics 4. ....

Google Analytics , Google Tag Manager , Data Stream , Looker Studio , Google Data Studio , Pivot Table , Google Search Console ,

Global virus database pledges clarity on operations after Science article flags access issues

Journal report says researchers’ access was cut off in response to criticism, which Global Initiative for Sharing All Influenza Data has denied. ....

National Institute Of Allergy , National Institute , Covid 19 , Irus Genome Sharing , Global Initiative For Sharing All Influenza Data , Ars Cov 2 Sequences , Data Stream , Peter Bogner ,

Apache Kafka + Apache Flink = Match Made in Heaven

Discover the pros and cons of Apache Kafka for data streaming in combination with Apache Flink (or Kafka Streams) for stream processing. ....

United States , Neha Narkhede , Stephan Ewen , Kafka Streams Isa Library , American National Standards Institute , International Organization For Standardization , Library Of Kafka Streams , Apache Kafka , Apache Flink , Kafka Streams , Open Source , Cloud Native Data , Tremendous Adoption , Learning Models , Fraud Detection Models , Cloud Native Amazon , Perfect Complementary Technology , Multiple Kafka , Kafka Topics , Confluent Cluster Linking , Cluster Linking , Across Kafka , Query Language , International Organization , Data Definition Language , Data Manipulation Language ,

"A hybrid deep learning classifier and Optimized Key Windowing approach" by Dharani Kumar Talapula, Adarsh Kumar et al.

The generation of huge data with high velocity creates alteration in the distribution of the stream data, which is defined as the concept of drifts. The concept drifts negatively influence the classification accuracy and the stability of the data streams. Numerous machine learning-based models are developed to detect the concept drift in machine learning techniques. Yet, these models are inadequate for real-time applications due to time and memory constraints. Hence, this research devises dynamic streaming data analytics depending on the optimized hybrid deep learning classifier and Optimized Key Windowing (OKW) approach to effectively handle the time and memory constraints. An optimized hybrid deep learning classifier is the base classifier model developed by integrating deep Long short-term memory (LSTM) and deep Recurrent Neural Networks (RNN) to detect the concept drifts in streaming data. The model's main advantage lies in enhanced accuracy in drift detection by a hybrid clas ....

Recurrent Neural Networks , Optimized Key Windowing , Cloud Monitoring , Data Stream , Deep Learning , Drift Detection , Etaheuristic Algorithm , Pattern Detection ,