
Why SQL Beats Formulas Once the Data Gets Large and Slow
Why spreadsheet formulas slow down as data grows and where SQL pulls ahead: lookup cost, recalculation, memory, repeatability and auditability.
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Why spreadsheet formulas slow down as data grows and where SQL pulls ahead: lookup cost, recalculation, memory, repeatability and auditability.

Translate Excel date functions to SQL: YEAR, EOMONTH, EDATE, DATEDIF, NETWORKDAYS, WEEKDAY, WEEKNUM and TEXT, with worked results and week numbering traps.

Map Excel text functions to SQL string functions: LEFT, MID, LEN, TRIM, SUBSTITUTE, FIND, TEXTJOIN, PROPER and TEXT, with the edge cases for spaces and nulls.

Reproduce Excel's Remove Duplicates in SQL: how DISTINCT and ROW_NUMBER choose the row to keep, how case and spaces matter, and how to delete duplicates.

Replace copied running-total formulas with SQL window functions: sums per group, moving averages, differences, ranks, and the tie trap in the default frame.

Translate INDEX and MATCH into SQL: one-way lookups, two-way table lookups, left-of-key lookups, match types and the join that replaces a lookup grid.

Rebuild an Excel pivot table in SQL with GROUP BY, conditional aggregation, ROLLUP and window percentages, and see what changes when columns are fixed.

Translate IF, nested IF, IFS and SWITCH into SQL CASE WHEN, with AND and OR, NULL handling, branch types and what each returns when nothing matches.

Translate COUNTIF, COUNTIFS, COUNTA and COUNTBLANK into SQL with count star, count of a column and FILTER, and handle distinct counts and blanks correctly.

Translate SUMIF and SUMIFS into SQL with WHERE, GROUP BY and FILTER, including criteria, wildcards, dates, OR conditions and the blank and case traps.

Translate VLOOKUP and XLOOKUP into SQL joins: exact and approximate match, first-match behavior, not-found values, duplicates and which side to keep.

Translate Excel formulas into SQL: lookups, conditional sums, IF, text and date functions, running totals and pivots, with a worked dataset and the traps.
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