For modern data teams, data orchestration is no longer a luxury. It’s a must-have. As organizations scale, data sets multiply, and analytics demands grow, manual data management becomes a bottleneck. The key to solid data management lies in automating and coordinating every stage of your data pipeline. Why Data Orchestration Matters A data pipeline is
At a data meetup I attended recently, I overheard two people having a more-animated-than-expected conversation about data version control. Each had strong feelings about how best to track and manage changes to data files over time. One point they both agreed upon is that Git is a very useful tool, but maybe not optimal for
Not too long ago, I was working with an investment advisor who needed bond reference data. Her firm had recently brought on a bunch of new data scientists (a.k.a. quants in capital markets), and they were struggling to get their existing data engineering team in sync with their new colleagues. A common challenge for organizations
