Data governance is the most important, yet most overlooked, part of creating an enterprise-level analytical system. It’s the key to making data-driven business decisions, but many enterprises don’t do it right – or not at all.
Databricks has been making waves for the last couple of years with their continuous innovations: Apache Spark, Delta Lake, MLFlow and the Lakehouse concept. Why are they so popular in data analytics world? And more importantly: why should you trust them with your data?