Modern businesses depend on data to make strategic decisions, but today’s enterprises are seeing an exponential increase in the amount of data available to them. Churning through all this data to get meaningful business insights means there’s very little room for data discrepancies. How do we put in place a robust data quality assurance process?
Fortunately for today’s DataOps engineers, tools like Datafold and dbt (Data Build Tool) are simplifying the challenge of ensuring data quality. In this post, we’ll look at how these two tools work in tandem to bring observability and repeatability into your data quality process.