One of the key goals of today’s enterprises is to orchestrate and automate the flow of data, from the source to the user, ensuring that new analytics and insights are based on high-quality data. 

To that end, in our approach, we advocate and make use of an emerging analytic development method, DataOps. DataOps promotes alignment between data scientists, analysts, data/ETL engineers, IT specialists, and data governance, and focuses on building reliable data analytics pipelines. In a data pipeline, data continuously enters on one side of the pipeline, progresses through a series of steps that implement multiple automated quality gates, and exits as a valuable analytics solution. 

Learn more about DataOps trainings for data professionals we provide and consider taking part in one of our upcoming trainings.