Episode 4 of the Data Innovation Summit Highlight Series. Today, we are presenting the Data Engineering Stage. Designed to have technical nature, this particular stage is focusing on agile approaches to designing, implementing and maintaining a distributed data architecture to support a wide range of tools and frameworks in production. On stage we are bringing some of the biggest names in the world, presenting topics on DataOps, MLOps, AutoML, CloudML, FastData, Data pipeline, data lineage, data modelling, data flow monitoring, feature extraction and much more. Ranging from DevOps to serverless data infrastructure, the Data Engineering stage on the 2020 edition, will be literally ‘’on fire’’.