Apache Spark is powerful, but let’s be honest - it can also be a nightmare to run in production, chasing data incidents, pipeline issues, and inefficient performance… Data monitoring is not enough anymore, we need full-stack data observability.
In this live webinar, Andreas Kretz and Roy Daniel explore some of the biggest challenges that data engineering teams developing Spark pipelines at high-scale are facing today, and walk through live examples of how definity helps to solve them, for example: