Data Pipeline Performance Improvements Part 1: How to convert a time interval (dd.hh:mm:ss) into seconds
Series Overview Welcome to this short series where we’ll be discussing the technical methods used to improve Data Pipeline Copy activity performance through parallelization by logically partitioning any source. Often, we see solutions leveraging a single Copy Activity to move large volumes of data. While this works great, you might face a scenario where you … Continue reading “Data Pipeline Performance Improvements Part 1: How to convert a time interval (dd.hh:mm:ss) into seconds”