Apache Spark has long been a popular tool for handling petabytes of data in analytics applications. It’s often used for big data and machine learning, and most organizations use it with cloud infrastructure to run models and build algorithms. Spark is no doubt a fast analytical tool that provides high-speed queries for large datasets, but recent client testimonials tell us that Dask is even faster. So, what should you keep in mind when moving from Spark to Dask?
