Materials on AI, Python, Git, SQL, SAP/ERP, statistics and time series: explanations, examples, practical tips, sources and applicability limits.
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Compare parameterized query plans by generating separate plan files for each parameter value in SQL Analyzer, then decide between Plan Variants and query rewriting based on plan differences.
Find the expensive step and distinguish estimates from measurements.
In outer joins, a condition in ON is evaluated during the join while a condition in WHERE filters the already-built result, so moving a filter between them can change which rows survive. For inner joins the placement is purely stylistic.
A closer look at explicitly deferred NO ACTION checks and clearing only the optional component of a composite foreign key. These details complement the basic choice between RESTRICT, CASCADE and SET NULL.
LIMIT caps returned rows; OFFSET skips rows in the query result. SQL does not require ORDER BY syntactically, but repeatable page boundaries need a unique ordering. For an API, choose between page-number navigation and continuation from the last key; neither strategy alone provides a snapshot. Measure deeper pages before setting a performance cutoff.
Explore the principles of semantic search, its reliance on embeddings, and the reasons why text that appears similar might not provide the desired answer. Learn about vector search, hybrid search, and their applications in information retrieval.
Step-by-step guide to creating an index, generating embeddings, and executing hybrid queries that combine full-text and vector search using Azure AI Search.
Compare RESTRICT, CASCADE and SET NULL using a small isolated example, then check the actual constraint and dependent rows before changing real data.
Select one whole event per account with an explicit tie-breaker and a deliberate policy for missing timestamps.
A detailed technical breakdown of the differences between WHERE and HAVING clauses, focusing on execution order, aggregate function compatibility, and performance optimization strategies.
Diagnose repeated JOIN rows by counting matching keys, checking constraints and choosing whether the result should contain orders, items or summaries.