This presentation gives an overview of the Apache Airflow project. It explains Apache Airflow in terms of it’s pipelines, tasks, integration and UI.
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This presentation gives an overview of the Apache Airflow project. It explains Apache Airflow in terms of it’s pipelines, tasks, integration and UI.
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This presentation gives an overview of the Apache Airavata project. It explains Apache Airavata in terms of it’s architecture, data models and user interface.
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This presentation gives an overview of the Apache SkyWalking project. It explains Apache SkyWalking in terms of it’s architecture, protocols, users and languages supported.
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This presentation gives an overview of the Apache MADlib AI/ML project. It explains Apache MADlib AI/ML in terms of it’s functionality, it’s architecture, dependencies and also gives an SQL example.
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This presentation gives an overview of the Apache SystemML AI/ML project. It explains Apache SystemML AI/ML in terms of it’s functionality, dependencies and how systemDS has been forked from it providing greater functionality.
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This presentation gives an overview of the Apache Samoa ML project. It explains Apache Samoa ML in terms of it’s architecture, the way that it abstracts implementation via its API and the stream processing systems that it supports.
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This presentation gives an overview of the Apache MXNet AI project. It explains Apache MXNet AI in terms of it’s architecture, eco system, languages and the generic problems that the architecture attempts to solve.
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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.
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This presentation gives an overview of the Apache Fluo project. It explains Apache Fluo in terms of it’s architecture, functionality and transactions.
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This presentation gives an overview of the Apache Singa AI project. It explains Apache Singa in terms of it’s architecture, distributed training and functionality.
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