What happens I you are run filter without DE?

If you run a filter without data engineering (DE), the process may yield incomplete or inaccurate results due to a lack of proper data preparation, cleansing, or transformation. Data quality issues could arise, leading to misleading insights and poor decision-making. Additionally, the filter may not effectively handle various data formats or structures, resulting in operational inefficiencies. Overall, the absence of DE can compromise the reliability and effectiveness of the filtering process.