Stitching data refers to the process of combining or joining multiple datasets from different sources into a single, unified dataset. The goal is to create a complete view by linking records that belong to the same entity (e.g., customer, product, transaction) across systems.
SELECT * FROM table_a a LEFT JOIN table_b b ON a.email = b.email OR a.phone = b.phone ⚠️ Be careful with OR – it can cause record multiplication. For complex cases (anonymous + logged-in users), build a mapping table.
df_crm['email'] = df_crm['email'].str.lower().str.strip() df_support['email'] = df_support['email'].str.lower().str.strip() A. Simple Join (Deterministic) Use when you have a perfect matching key.
Stitching data refers to the process of combining or joining multiple datasets from different sources into a single, unified dataset. The goal is to create a complete view by linking records that belong to the same entity (e.g., customer, product, transaction) across systems.
SELECT * FROM table_a a LEFT JOIN table_b b ON a.email = b.email OR a.phone = b.phone ⚠️ Be careful with OR – it can cause record multiplication. For complex cases (anonymous + logged-in users), build a mapping table.
df_crm['email'] = df_crm['email'].str.lower().str.strip() df_support['email'] = df_support['email'].str.lower().str.strip() A. Simple Join (Deterministic) Use when you have a perfect matching key.
