Supercharging distributed computing environments for high-performance data engineering
1 Introduction Data engineering has grown rapidly in recent decades, driven by the Big Data revolution and advances in machine learning (ML) and artificial intelligence (AI). In today’s information age, data is measured in gigabytes and terabytes, stored in object repositories rather than megabytes, files, or spreadsheets. Managing this vast amount of data takes up …