Safety protocols help ensure proper access and guard against threats. Similarly, DataOps requires safe and strong practices using role-based access, monitoring and auditing data, and security automation to promote safe data. The ability to establish data sharing capabilities to enable access to the right data at the right time and enable faster and more reliable development of data products is an early and necessary step.

These constantly validate that the plane meets approval and provide fixes when issues prevent you from taking off. Data management and maintenance similarly enable DataOps by making sure data is ingestible and scalable to support business needs. With the right checks in place, data platform teams can effectively consume and create data products that translate to smooth intake for the end user.

Cabin service prepares for a smooth flight by cleaning the plane, ensuring the cabin is stocked, and checking that everything is in order. By the same token, data cataloging and cleansing, and data transparency help DataOps to thrive in well-organized, well-prepared organizations. Understanding gaps within skillsets and processes—and more importantly, knowing how to fill them—will help drive value.

Air traffic controllers provide real-time updates, check that the skies are clear, and work closely with ground control to adjust for unforeseen changes. Similarly, data observability provides near real-time feedback in DataOps, enabling quick detection when things go wrong and proactive decision-making to help reduce errors in the future.

Flight attendants consistently facilitate the on/off boarding experience and check in repeatedly to ensure your standards for traveling are met before, during, and after the flight. Compare this to the role of data governance. Without standards and rules in place to enforce, DataOps cannot deliver the availability and reliability that end users desire.

Pilots are the people you trust to get you to your destination and encourage you to fly more often. For their part, product managers are at the core of DataOps, bringing the vision to life and continuously enhancing to drive innovation. They are focused on continuously addressing consumer’s data & analytics requests packaged as products such as combined datasets and self-service capabilities with high data quality.