SQL Beyond SELECT: Joins, Windows and Indexes
Relational Databases & SQL: leave with a normalized schema with constraints, window-function reports and an EXPLAIN-driven index fix.
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What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1Why relational databases & sql matters — the common problem: Queries return wrong totals or crawl because joins, constraints and indexes are misused.
- 2Core concepts in plain language: Relational modeling, tables, keys, constraints, normalization, joins
- 3Going further: subqueries, common table expressions, window functions, transactions, isolation levels, indexes
- 4Framework walkthrough: Normalization, Dimensional Modeling, ELT Pipelines, Data Quality Dimensions
- 5Practical workflow, built live: A normalized schema with constraints, window-function reports and an EXPLAIN-driven index fix.
- 6How to measure it: Query latency, Pipeline freshness, Data-quality check pass rate, Failed job rate
- 7An illustrative case (a fictional example, not a client result), then live Q&A on your own situation
Who it's for
- • Students and freshers entering tech
- • Working developers and engineers
- • Tech leads and architects
You'd leave with
- A normalized schema with constraints, window-function reports and an EXPLAIN-driven index fix.
- A working understanding of Normalization and Dimensional Modeling
- A short list of measures to track: Query latency, Pipeline freshness, Data-quality check pass rate
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