Email Validation Best Practices: Beyond Simple Regex
Mar 4 · 10 min read · Email validation is deceptively complex. What seems like a simple task—checking whether an email address is valid—actually involves multiple layers of verification, edge cases that break simple approaches, and tradeoffs between strictness and user ex...
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The Phone Number Validation Rabbit Hole
Feb 26 · 8 min read · "Validate that it's a phone number. How hard can it be?" I've heard this sentence start many projects that ended in frustration. Phone numbers look simple — we use them every day, we know what they look like, how hard could validation be? Very hard, ...
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How I Built a Self Auditing Data Pipeline With Multiple LLMs
Feb 17 · 12 min read · When your hotel database thinks "Game Room, Deck & Yard: Chicago Home" is a hotel, you have a data quality problem. When it happens across 212 cities in 25 countries, this isn’t a travel problem; it’s
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Mastering Analytics Engineering: My Journey with dbt and Data Modeling
Feb 16 · 14 min read · Date: February 16, 2026Module: Data Engineering Zoomcamp - Module 4Topic: Analytics Engineering with dbt Introduction Just completed Module 4 of the Data Engineering Zoomcamp - Analytics Engineering with dbt (data build tool)! This module was transf...
Join discussionData Validation: Great Expectations
Feb 12 · 9 min read · Why Traditional Validation Fails in Streaming Architectures Most teams initially approach data validation by embedding checks directly in application code or running periodic SQL queries against data warehouses. This worked adequately when data moved...
Join discussionAttribution breaks long before reporting
Feb 6 · 1 min read · When marketing attribution does not make sense, the blame usually falls on dashboards, models, or reporting logic. In practice, most attribution issues originate much earlier in the pipeline. Incomplete customer journeys, inconsistent identifiers...
Join discussionAI Data Quality Monitoring: Why Most Tools Stop at Tactical AI
Feb 2 · 8 min read · Chat interfaces are table stakes. Proactive intelligence is next. Your data observability tool just sent you 47 alerts. Three dashboards are showing anomalies. A stakeholder is asking why the numbers in their report changed. You open your "AI-powered...
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From Chaos to Clarity: Mastering Data Standardization
Feb 2 · 7 min read · In the past, organizations faced challenges with diverse data formats, inconsistent naming conventions, and incompatible systems, leading to data silos and inaccuracies. Data standardization has emerged as a solution, providing unified guidelines for...
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