Putting some Spark into HDF-EOS

…we focus on how far we can push our personal computing devices with Spark. It consists of 7,850 HDF-EOS5 files covering 27 years and totals about 120 GB. We use a driver script, which reads a dataset of interest from each file in the collection, computes per-file quantities of interest, and gathers them in a CSV file for visualization. The processing time on our reference tablet machine for 3.5 years of data using 4 logical processors was about 10 seconds.

From HDF5 Datasets to Apache Spark RDDs

… HDF% and Spark: Balancing the workload among tasks is a concern in any parallel environment. However, that does not mean that all datasets have to be the same size. HDF5 can help with partial I/O: Instead of reading entire datasets, one could just read hyperslabs or other selections. Sampling is…

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