Rapid changes in data management technology and network infrastructure enabled the field of data science as we know it. Traditional methodologies for handling data projects became too slow to handle the teams working with the technology, driving the need for a new way to manage data teams. The DataOps Manifesto was created as a response, borrowing from the Agile Manifesto, the DevOps movement, and Lean Manufacturing to use the wins of other domains with similar situations, and then tailoring it to data and analytics. This talk covers the principles of the DataOps Manifesto, the challenges that led to it, and how and where it's already being applied in industry.