DataOps applies agile software development best practices to data management, making data work reusable and reproducible. As the backbone of your data operations strategy, data.world provides a single place for data producers and consumers to communicate and share important data trust signals and metadata on increasingly complex data pipelines and data-driven applications.
When organizations depend on data for their day-to-day operations, it’s critical to communicate data pipeline issues, outages, and improvements to relevant data teams and data users. By automating and streamlining updates from DataOps teams to the rest of the organization, data engineers can ensure that dashboard and report updates are timely and relevant while saving time and resources for higher-impact projects.
Provide data users with data context and trust signals to increase confidence in the data they’re using for data analytics and data-driven decision-making. With data.world’s DataOps application, context like business terms, metrics, lineage, and more is available to data users in the data analytics tools they work with, like Tableau and PowerBI. With this context, data consumers can explore and discover more about their data to find insights.
Investigating data pipeline issues and identifying all relevant upstream and downstream dependencies is time-consuming. Column-level lineage across your modern data stack helps you pinpoint, understand, and resolve issues faster.
Schedule a demo with the data.world team to see how our product capabilities can help your data teams streamline data workflows and improve trust and data governance.