Elysiate blog
Practical guides for privacy-first developer tools, SEO and content operations, data and file workflows, cloud and API security, AI engineering, and sustainable freelance work. Everything here supports the same philosophy as our browser-based utilities: your data stays on your device until you choose otherwise.
For tabular data, the CSV tools hub covers validation and conversion in the browser, and the CSV topic index lists every CSV-tagged guide in one place.
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- SQL Indexes Explained for Performance
A detailed guide to SQL indexes for performance, covering index basics, scan types, composite indexes, selectivity, write tradeoffs, execution plans, and practical indexing patterns for developers and analysts.
- SQL GROUP BY vs HAVING
A detailed guide to SQL GROUP BY vs HAVING, covering grouped queries, aggregate filtering, WHERE vs HAVING, common mistakes, and practical examples for developers and analysts.
- SQL Foreign Keys Explained
A detailed guide to SQL foreign keys, covering relationships between tables, referential integrity, cascade options, indexing considerations, common mistakes, and practical examples.
- SQL for Data Engineers Guide
A detailed SQL guide for data engineers with practical patterns for staging, cleaning, joining, aggregating, deduplicating, validating, and optimizing data pipelines.
- SQL for Data Analysis Best Practices
A detailed guide to SQL for data analysis best practices, covering query clarity, validation, joins, aggregation, CTEs, date filters, NULL handling, performance, and analysis workflows that produce reliable results.
- SQL for Backend Developers Guide
A detailed SQL guide for backend developers with practical query patterns, schema design advice, indexing strategy, transaction handling, and performance habits for real applications.
- SQL EXPLAIN Plan Guide
A detailed guide to SQL EXPLAIN plans, including how to read execution plans, understand scans and joins, compare estimated versus actual rows, and use query plans to find real performance bottlenecks.
- SQL DISTINCT vs GROUP BY
A detailed guide to SQL DISTINCT vs GROUP BY, covering duplicate removal, aggregation, query intent, performance, common mistakes, and practical examples for developers and analysts.
- SQL DELETE vs TRUNCATE vs DROP
A detailed guide to SQL DELETE vs TRUNCATE vs DROP, covering data removal, table removal, performance, rollback, identity reset behavior, constraints, and common mistakes developers make.
- SQL Date Functions Guide
A detailed SQL date functions guide covering current date and time, date arithmetic, range filtering, grouping by month, date differences, truncation, formatting, and real reporting patterns.