In this sponsored post, Ehsan Totoni, CTO of Bodo.ai, discusses opportunities to integrate a parallelization approach – capable of scaling to 10k cores or more – into popular cloud-based Data Warehouses to help speed large-scale analytics and ELT computing. And, because the model can be engineered for various special-purpose hardware and accelerators, there are opportunities to apply this to GPUs and FPGAs for media processing and encoding as well.