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Implement Serverless Log Analytics Using Amazon Kinesis Analytics | AWS Big Data Blog

Applications log a large amount of data that—when analyzed in real time—provides significant insight into your applications. Real-time log analysis can be used to ensure security compliance, troubleshoot operation events, identify application usage patterns, and much more. Ingesting and analyzing this data in real time can be accomplished by using a variety of open source tools on Amazon EC2. Alternatively, ...

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Writing SQL on Streaming Data with Amazon Kinesis Analytics – Part 2 – AWS Big Data Blog

Amazon Kinesis Analytics allows you to easily write SQL ­­­on streaming data, providing a powerful way to build a stream processing application in minutes. The service allows you to connect to streaming data sources, process the data with sub-second latencies, and continuously emit results to downstream destinations for use in real-time alerts, dashboards, or further analysis. This post introduces you to th ...

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Analyze Realtime Data from Amazon Kinesis Streams Using Zeppelin and Spark Streaming – AWS Big Data Blog

There is streaming data everywhere. This includes clickstream data, data from sensors, data emitted from billions of IoT devices, and more. Not suprisingly, data scientists want to analyze and explore these data streams in real time. This post shows you how you can use Spark Streaming to process data coming fromAmazon Kinesis streams, build some graphs using Zeppelin, and then store the Zeppelin notebook in ...

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Optimize Spark-Streaming to Efficiently Process Amazon Kinesis Streams – AWS Big Data Blog

Do you use real-time analytics on AWS to quickly extract value from large volumes of data streams? For example, have you built a recommendation engine on clickstream data to personalize content suggestions in real time using  Amazon Kinesis Streams and Apache Spark? These frameworks make it easy to implement real-time analytics, but understanding how they work together helps you optimize performance. In thi ...

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Real-world applications with Amazon Machine Learning

How to apply Machine Learning to social media to make your customers happyAt his AWS re:Invent presentation, Alex Ingerman – technical product manager at AWS – went through the design and implementation of a real-world end-to-end application to transform a high-volume social stream into actionable support requests for your customer support team.The idea is that social networks like Twitter generate a huge a ...

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Amazon Kinesis Update – Simplified Capture of Streaming Data | AWS Official Blog

Amazon Kinesis is a managed service designed to handle real-time streaming of big data. It can accept any amount of data, from any number of sources, scaling up and down as needed (see my introductory post for more information on Kinesis). Developers can use the Kinesis Client Library (KCL) to simplify the implementation of apps that consume and process streamed data. Today we are making the capture of stre ...

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