oracle/analytical-sql-examples — explained in plain English
Analysis updated 2026-07-20 · repo last pushed 2017-08-07
Find your top customers over the past few quarters using SQL pattern matching.
Calculate year-over-year growth by comparing rows with window functions.
Identify products with a consistent upward sales trend directly in Oracle Database.
Learn advanced analytical SQL techniques by studying ready-to-use script examples.
Scripts require an Oracle Database instance to run, but can also be tried on Oracle's free browser-based LiveSQL platform.
Oracle's analytical-sql-examples is a collection of code snippets showing how to use Oracle Database's advanced SQL features for data analysis. Think of it as a recipe book for business analysts and developers who want to crunch numbers directly in a database rather than exporting data to a separate tool. The examples cover things like pattern matching (finding trends or sequences in your data), window functions (comparing rows to each other, like year-over-year growth), and statistical calculations. Each script demonstrates a specific analytical technique using Oracle's SQL dialect. This would be useful for anyone working with Oracle databases who needs to answer business questions like "who are our top customers over the past three quarters" or "which products show a consistent upward trend." Rather than pulling raw data into Excel or a BI tool, you could write queries that do the heavy lifting right where the data lives. The repository itself is no longer maintained. The author notes that updated scripts and tutorials have moved to Oracle's LiveSQL platform, which is a web-based resource for learning and running SQL directly in the browser. So while this repo still exists as a historical reference, anyone looking for current examples should head there instead.
A recipe book of SQL code snippets for Oracle Database, showing how to do pattern matching, window functions, and stats directly in the database for business analysis.
Mainly PLSQL. The stack also includes PLSQL, Oracle Database.
Dormant — no commits in 2+ years (last push 2017-08-07).
No license information is provided in the repository.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly data.
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