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This presentation gives an overview of the Apache Kafka project. It covers areas like producer, consumer, topic, partitions, API's, architecture and usage. Links for further information and connecting http://www.amazon.com/Michael-Frampton/e/B00NIQDOOM/ https://nz.linkedin.com/pub/mike-frampton/20/630/385 https://open-source-systems.blogspot.com/ Music by "Little Planet", composed and performed by Bensound from http://www.bensound.com/
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This presentation gives an overview of the Apache Gobblin project. It explains Apache Gobblin in terms of it's architecture, data sources/sinks and it's work unit processing. Links for further information and connecting http://www.amazon.com/Michael-Frampton/e/B00NIQDOOM/ https://nz.linkedin.com/pub/mike-frampton/20/630/385 https://open-source-systems.blogspot.com/
This presentation gives an overview of the Apache Ranger project. It explains Apache Ranger in terms of it's architecture, security, audit and plugin features. Links for further information and connecting http://www.amazon.com/Michael-Frampton/e/B00NIQDOOM/ https://nz.linkedin.com/pub/mike-frampton/20/630/385 https://open-source-systems.blogspot.com/
This presentation gives an overview of the Apache Edgent project. It explains Edgent in terms of edge of network IOT analytics. It also explains the Edgent API, cookbook and console. Links for further information and connecting http://www.amazon.com/Michael-Frampton/e/B00NIQDOOM/ https://nz.linkedin.com/pub/mike-frampton/20/630/385 https://open-source-systems.blogspot.com/
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This presentation gives an overview of the Apache Tajo project. It explains Tajo architecture in relation to Hadoop/Hive and ETL. Links for further information and connecting http://www.amazon.com/Michael-Frampton/e/B00NIQDOOM/ https://nz.linkedin.com/pub/mike-frampton/20/630/385 https://open-source-systems.blogspot.com/
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Hadoop is an open-source framework for distributed storage and processing of large data sets. Key components include HDFS (storage), MapReduce (processing), YARN (resource management), and Hadoop Common (utilities). Its architecture follows a master-slave model with Master Nodes (NameNode, JobTracker) managing data and tasks, and Slave Nodes (DataNodes, TaskTrackers) storing data and performing computations. Hadoop is used in data warehousing, business intelligence, machine learning, and large-scale data processing, making it essential for big data applications. Feel free to download the PPT for more detailed information
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This presentation gives an overview of the Prometheus project. It explains Prometheus in terms of it's visualisation, time series processing capabilities and architecture. It also examines it's query language PromQL. Links for further information and connecting http://www.amazon.com/Michael-Frampton/e/B00NIQDOOM/ https://nz.linkedin.com/pub/mike-frampton/20/630/385 https://open-source-systems.blogspot.com/
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