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Watch this talk here: https://www.confluent.io/online-talks/benefits-of-stream-processing-and-apache-kafka-use-cases-on-demand This talk explains how companies are using event-driven architecture to transform their business and how Apache Kafka serves as the foundation for streaming data applications. Learn how major players in the market are using Kafka in a wide range of use cases such as microservices, IoT and edge computing, core banking and fraud detection, cyber data collection and dissemination, ESB replacement, data pipelining, ecommerce, mainframe offloading and more. Also discussed in this talk are the differences between Apache Kafka and Confluent Platform. This session is part 1 of 4 in our Fundamentals for Apache Kafka series.

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Speaker: Gabriel Schenker, Lead Curriculum Developer, Confluent Streaming platforms have emerged as a popular, new trend, but what exactly is a streaming platform? Part messaging system, part Hadoop made fast, part fast ETL and scalable data integration. With Apache Kafka® at the core, event streaming platforms offer an entirely new perspective on managing the flow of data. This talk will explain what an event streaming platform such as Apache Kafka is and some of the use cases and design patterns around its use—including several examples of where it is solving real business problems. New developments in this area such as KSQL will also be discussed.

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Slides from Michelle Ufford's talk, Data-Driven @ Netflix. Talk given at PASS Summit 2016 in October 2016. Netflix is the quintessential data-driven company. It’s 83 million members stream more than 125 million hours in over 190 countries every day and generate more than 700 billion events in the process. In this session, we’ll share how data is used to make informed decisions across the entire business — from content acquisition to content delivery, and everything in between. We’ll look at how Netflix successfully employs a scalable cloud-based data platform to support a constant deluge of data and a small army of data analysts, engineers, and scientists. We’ll discuss the advanced analytical capabilities that are enabled through modern data technologies. Lastly, we’ll explore some of the architectural & operational principals that enable Netflix to so effectively make use of its data.

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Apache Avro allows data to be self-describing, but carries an overhead when used with message queues such as Apache Kafka. Confluent’s open source Schema Registry integrates with Kafka to allow Avro schemas to be passed ‘by reference’, minimizing overhead, and can be used with any application that uses Avro. Learn about Schema Registry, using it with Kafka, and leveraging it in your application.

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Apache Kafka and Event Streaming are two of the most relevant buzzwords in tech these days. Ever wonder what the predicted TOP 5 Event Streaming Architectures and Use Cases for 2021 are? Check out the following presentation. Learn about edge deployments, hybrid and multi-cloud architectures, service mesh-based microservices, streaming machine learning, and cybersecurity. On-demand video recording: https://videos.confluent.io/watch/XAjxV3j8hzwCcEKoZVErUJ

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