This includes popular tools like Apache Airflow for scheduling/monitoring workflows, while those working with big data pipelines opt for Apache Spark.
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The only two to make multiple lists were Amazon Web Services (AWS) and Microsoft Azure.
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Both PyTorch and TensorFlow/Keras are still the go-to machine learning frameworks for a number of tasks, largely thanks to their ability to be scale and be used for more resource-intensive tasks like deep learning; these two frameworks aren't limited to just basic ML.Scikit-learn also earns a top spot thanks to its success with predictive analytics and general machine learning.
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The Apache Hadoop framework is an ecosystem in itself, as it's actually a collection of open-source tools.
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