The Data Practitioners Guide to Data Discovery

Ever wonder what is the secret behind the productivity of data scientists and engineers at data-driven companies like LinkedIn, Airbnb, and others? The answer lies in delightful and trustworthy data discovery! In this session, Shirshanka Das and Maggie Hays walk you through one of the most popular data discovery systems in the open-source data space, DataHub. We will share how DataHub stitches together metadata from tools like dbt, Airflow, Spark, Looker, and many others to create delightful data discovery experiences at many companies like LinkedIn, Expedia, Peloton, Saxo Bank, and Wolt. After taking a peek under the hood of DataHub’s architecture, we’ll show you how to get productive with DataHub in 10 minutes or less. We will share approaches to automation that we have heard from the almost 2K strong DataHub Community, as well as strategies for sourcing and surfacing impactful metadata to fuel data discovery, modern data governance, and data observability.