Do Those Numbers Look Right?

In this session, James stresses the importance of validating business rules and security boundaries in data solutions to maintain quality and prevent inaccuracies in data insights over time. Without trust in the data, the insights derived from it are essentially useless. As a result, automated quality gates must be implemented throughout the development process of data solutions, similar to any other software project, to ensure reliable and trustworthy data insights.

James will provide practical examples and proven techniques to test various data solutions comprising Synapse Pipelines, interactive Spark notebooks, and Power BI reports. These quality gates not only validate the data but also maintain the integrity of the data solution as it evolves and expands over time.

By following James' techniques and best practices, businesses can leverage their data solutions to drive informed decision-making and a better understanding of customers and overall operations. Quality and reliability are at the forefront of ensuring that data insights are trustworthy and effective.

The post Do Those Numbers Look Right? originally appeared on Endjin.