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Loading...Introduction to Satellite Data Analytics
Last quarter, our team discovered that our satellite data analytics pipeline was struggling to keep up with the increasing volume of data. We were processing over 10 terabytes of data daily, and our existing framework was maxed out. I realized that we needed to evaluate new frameworks that could handle large-scale space-based data processing. In this article, I'll share our experience benchmarking Apache Spark 3.4, Dask 2023.6, and Vaex 4.0.
The Problem with Our Existing Framework
Our existing framework was built using a combination of Python scripts and pandas dataframes. While it worked well for small-scale data processing, it was not designed to handle the massive amounts of data we were now dealing with. We were experiencing long processing times, and our cluster was constantly running out of memory.
Evaluating New Frameworks
We decided to evaluate three new frameworks: Apache Spark 3.4, Dask 2023.6, and Vaex 4.0.
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