<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Datarelix — guides</title><description>Guides on verifiable conversational analytics from the Datarelix team.</description><link>https://datarelix.ai/</link><language>en</language><item><title>Ask MySQL Questions in Plain English</title><link>https://datarelix.ai/resources/guides/ask-mysql-questions-in-plain-english/</link><guid isPermaLink="true">https://datarelix.ai/resources/guides/ask-mysql-questions-in-plain-english/</guid><description>Ask MySQL questions in plain English: the SELECT-only user, MySQL 8 TLS auth, the server defaults that quietly change generated SQL, and reading from a replica.</description><pubDate>Thu, 20 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Query BigQuery in Plain English</title><link>https://datarelix.ai/resources/guides/natural-language-analytics-for-bigquery/</link><guid isPermaLink="true">https://datarelix.ai/resources/guides/natural-language-analytics-for-bigquery/</guid><description>Query BigQuery in plain English safely: the two-project model, the two IAM roles that scope reads, bytes-scanned cost guards, and partition-required tables.</description><pubDate>Thu, 20 Aug 2026 00:00:00 GMT</pubDate></item><item><title>AI Analytics vs Traditional BI: When to Use Each</title><link>https://datarelix.ai/resources/guides/ai-analytics-vs-traditional-bi/</link><guid isPermaLink="true">https://datarelix.ai/resources/guides/ai-analytics-vs-traditional-bi/</guid><description>A decision framework for natural-language business intelligence and traditional BI: what each is good at, where they overlap, and how a hybrid model divides the work.</description><pubDate>Thu, 13 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Ask PostgreSQL Questions in Plain English</title><link>https://datarelix.ai/resources/guides/ask-postgresql-questions-in-plain-english/</link><guid isPermaLink="true">https://datarelix.ai/resources/guides/ask-postgresql-questions-in-plain-english/</guid><description>Querying PostgreSQL in natural language safely: the read-only role, how generated SQL is validated before it runs, pooler and schema gotchas, and where it breaks.</description><pubDate>Thu, 13 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Ask Snowflake Questions in Plain English</title><link>https://datarelix.ai/resources/guides/natural-language-analytics-for-snowflake/</link><guid isPermaLink="true">https://datarelix.ai/resources/guides/natural-language-analytics-for-snowflake/</guid><description>Ask Snowflake questions in plain English: the four grants the role needs, credit-cost guards, dialect specifics in generated SQL, and declaration-only foreign keys.</description><pubDate>Thu, 13 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Build Self-Service Analytics Without Replacing Your Data Stack</title><link>https://datarelix.ai/resources/guides/self-service-analytics-without-replacing-your-stack/</link><guid isPermaLink="true">https://datarelix.ai/resources/guides/self-service-analytics-without-replacing-your-stack/</guid><description>Governed self-service analytics as an overlay on the warehouse and BI you already run: the read-only pattern, what keeps its authority, and where it fails.</description><pubDate>Thu, 13 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Why Your AI Tool Picks the Wrong Column</title><link>https://datarelix.ai/resources/guides/why-semantic-context-matters/</link><guid isPermaLink="true">https://datarelix.ai/resources/guides/why-semantic-context-matters/</guid><description>A tool that answers confidently and wrongly is usually missing semantic context. How column descriptions, key tables, and join paths change the SQL that gets generated.</description><pubDate>Thu, 13 Aug 2026 00:00:00 GMT</pubDate></item><item><title>AI Analytics Security Checklist: 10 Vendor Questions</title><link>https://datarelix.ai/resources/guides/conversational-analytics-security-checklist/</link><guid isPermaLink="true">https://datarelix.ai/resources/guides/conversational-analytics-security-checklist/</guid><description>A vendor-neutral security checklist for AI and conversational analytics: ten pass/fail questions, domain-by-domain probes, artifacts to request, and red flags.</description><pubDate>Fri, 07 Aug 2026 00:00:00 GMT</pubDate></item><item><title>How Datarelix Keeps Database Credentials Out of the AI Model</title><link>https://datarelix.ai/resources/guides/credentials-away-from-the-model/</link><guid isPermaLink="true">https://datarelix.ai/resources/guides/credentials-away-from-the-model/</guid><description>Where the database password lives when an AI tool queries your data: the data flow, what the model receives, who executes the query, and what the boundary does not cover.</description><pubDate>Fri, 07 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Read-Only AI Analytics: Architecture, Controls, and Threat Model</title><link>https://datarelix.ai/resources/guides/read-only-ai-analytics/</link><guid isPermaLink="true">https://datarelix.ai/resources/guides/read-only-ai-analytics/</guid><description>What read-only AI analytics actually requires: the threat model, the control layers that enforce it, and the residual risks a security review should probe.</description><pubDate>Fri, 07 Aug 2026 00:00:00 GMT</pubDate></item><item><title>Text-to-SQL Explained: How Natural Language Becomes a Database Query</title><link>https://datarelix.ai/resources/guides/text-to-sql-explained/</link><guid isPermaLink="true">https://datarelix.ai/resources/guides/text-to-sql-explained/</guid><description>What trustworthy text-to-SQL requires: how a natural language database query is built from schema context, checked by a read-only validator, and shipped with its evidence.</description><pubDate>Fri, 07 Aug 2026 00:00:00 GMT</pubDate></item><item><title>How to Verify an AI-Generated Data Answer Before It Reaches the Board</title><link>https://datarelix.ai/resources/guides/verify-ai-data-answers/</link><guid isPermaLink="true">https://datarelix.ai/resources/guides/verify-ai-data-answers/</guid><description>An eight-step workflow for verifying an AI-generated metric before it reaches a board deck — interpretation, definitions, scope, joins, and the evidence to check.</description><pubDate>Fri, 07 Aug 2026 00:00:00 GMT</pubDate></item><item><title>What Is Verifiable Conversational Analytics?</title><link>https://datarelix.ai/resources/guides/what-is-verifiable-conversational-analytics/</link><guid isPermaLink="true">https://datarelix.ai/resources/guides/what-is-verifiable-conversational-analytics/</guid><description>Verifiable conversational analytics answers plain-English questions with live queries — and ships the query, sources, and runtime so you can check every answer.</description><pubDate>Fri, 07 Aug 2026 00:00:00 GMT</pubDate></item></channel></rss>