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  • Build a Real-time Stream Processing Pipeline with Apache . . .
    This application is by no means specific to the reference architecture discussed in this post You can easily reuse it for other purposes as well, for example, building a similar stream processing architecture based on Amazon Kinesis Analytics instead of Apache Flink
  • Real-time Stream Processing Using Apache Spark Streaming . . .
    Amazon Web Services is Hiring Amazon Web Services (AWS) is a dynamic, growing business unit within Amazon com We are currently hiring Software Development Engineers, Product Managers, Account Managers, Solutions Architects, Support Engineers, System Engineers, Designers and more
  • Stream processing - Wikipedia
    Stream processing is a computer programming paradigm, equivalent to dataflow programming, event stream processing, and reactive programming, that allows some applications to more easily exploit a limited form of parallel processing Such applications can use multiple computational units, such as the floating point unit on a graphics processing unit or field-programmable gate arrays (FPGAs
  • How to use Apache Kafka to transform a batch pipeline into . . .
    In this blog, I will thoroughly explain how to build an end-to-end real-time data pipeline by building four micro-services on top of Apache Kafka It will give you insights into the Kafka Producer
  • Putting Apache Kafka To Use: A Practical Guide to Building . . .
    Stream Processing Putting Apache Kafka To Use: A Practical Guide to Building a Streaming Platform (Part 1)
  • Migrating Batch ETL to Stream Processing: A Netflix Case . . .
    There are many decisions and tradeoffs that must be made when moving from batch ETL to stream data processing Engineers should not "stream all the things" just because stream processing
  • Big Data Processing with Apache Spark - Part 3: Spark . . .
    In this article, third installment of Apache Spark series, author Srini Penchikala discusses Apache Spark Streaming framework for processing real-time streaming data using a log analytics sample
  • All the Apache Streaming Projects: An Exploratory Guide . . .
    The speed at which data is generated, consumed, processed, and analyzed is increasing at an unbelievably rapid pace Social media, the Internet of Things, ad tech, and gaming verticals are struggling to deal with the disproportionate size of data sets These industries demand data processing and analysis in near real-time Traditional big data-styled frameworks such […]

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