Apache Spark

Data exploration for large datasets is always challenging. Often you are left with deciding between subsetting the dataset (randomly or on some facet), making slow progress waiting for results just to find that something needs to be fixed, or optimizing code for performance when you don't even know if the result is going to be interesting. Having a high-performance system capable of ad-hoc investigation has always been difficult and/or expensive.