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Explain UPPER, in SQL to an Interviewer when your attending Data Scientist interview _ Episode 57 Here’s a 2250-character detailed explanation of UPPER in SQL, prepared as if you are answering in a Data Scientist interview: When attending a Data Scientist interview, it is important to explain not only what a SQL function does but also why it is useful in real-world analytics. One such commonly used function is UPPER, which converts all characters in a string to uppercase letters. For example, UPPER('sql interview') becomes 'SQL INTERVIEW'. While this might appear to be a simple text manipulation function, its importance in ensuring data consistency, standardization, and comparability cannot be overstated. The importance of UPPER comes from the fact that text data in real-world datasets is often inconsistent. Data collected from users, different systems, or external sources may contain the same information in different cases. For example, names may appear as 'joel', 'Joel', or 'JOEL'. Without standardization, these would be treated as separate values in joins, grouping, or filtering. By applying UPPER, we can normalize all inputs to the same case, ensuring accurate results. In data cleaning, UPPER is essential when comparing strings. For instance, when filtering customer emails or product codes, analysts can use UPPER to ensure that variations in case do not affect results. This is especially important in ETL pipelines, where consistency across millions of records is critical for reliable downstream processing. From a data science perspective, UPPER is frequently used in feature engineering for NLP (Natural Language Processing). For example, if sentiment analysis or keyword extraction is case-insensitive, converting text to uppercase simplifies processing and avoids treating words like “SQL” and “sql” as separate tokens. In business intelligence reporting, UPPER also improves readability and uniformity. For instance, displaying customer names, country codes, or product categories in uppercase ensures a professional and consistent presentation across dashboards and reports. Moreover, in matching and joins, UPPER prevents mismatches caused by case sensitivity. Suppose two datasets store product IDs differently—'abc123' in one and 'ABC123' in another. Using UPPER ensures smooth integration without missing values. In short, while UPPER is a basic function, it plays a critical role in ensuring data quality, comparability, and professional presentation, which are cornerstones of data analysis and machine learning workflows. Syntax of UPPER in SQL: UPPER(string)