Data validation lets you gain insight on the quality of your
data assets. This involves grading your organization consistently to monitor your progress. When testing data, it’s essential to set metrics, as well as succeeding steps and goals to drive improvements.
Data testing is even more crucial when loading data into a schema free
graph database like
Neo4j. So how do we it efficiently and continuously?
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