Correlation, SQL, and handling missing data explained | Data Analyst Interviews

An integration might appear seamless when transferring six data points between systems. Simple mappings. Minimal transformation. But what happens when the scenario involves 6,000 data elements? Multiple entities. Complex hierarchies. Data dependencies across systems. At that point, the definition of “seamless” can start to change quickly. To be fair, many vendors genuinely build strong integrations. And in many environments, those integrations work well. But they often work from the vendor’s per