How do you manage, distribute and schedule jobs written in R?

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Reproducibility high-performance-computing R Data Science Pipeline

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  • targets

    Function-oriented Make-like declarative workflows for R

    • That said, you might want to check out the ‘targets’ package, which provides a DSL for specifying complex workflow descriptions in R. When repeatedly running the same jobs on changing data, this package helps ensure that only necessary work is performed (suitable intermediate results are reused), and scripts are run reproducibly. This might help with sceduling.

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    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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