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TRACK

Modern Data Engineering

In the "old" days, data engineering was all about getting data from a transactional data store to a data warehouse, whereby it enabled business analysts to create reports and gain insights. In this track we’ll explore the ways in which data engineering has changed in the last few years and has become key to the success of products and companies - new requirements breed new solutions. Data & data engineering are used to power mission critical production applications, create powerful network effects, predict user behavior and drive cutting-edge AI. Come to this track to learn about recent advances in the theory and practice of data engineering.


TRACK HOST

Sid Anand

Chief Architect @Datazoom, PMC/Committer @Apache Airflow, Co-chair @QCon
I currently serve as the Chief Architect for Datazoom. Prior to joining Datazoom, I served as PayPal's Chief Data Engineer, focusing on ways to realize the value of data. Prior to joining PayPal, I held several positions including Agari's Data Architect, a Technical Lead in Search @ LinkedIn,... Read more Find Sid Anand at:

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