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data subTLDR week 49 year 2025
Relearning SQL to Inspire 5,000 Users, Unpacking Null in Queries, Airflow's Overheating Rooms, and Demystifying API Integration
data subTLDR week 48 year 2025
Mastering SQL Challenges: Engaging Disinterested Students, Learning from $2M Mistakes, Navigating Newbie Mishaps, Balancing Python with Other Languages, and Building a Supportive Community Amidst Errors
data subTLDR week 47 year 2025
Unraveling SQL Interviews, Accelerating Oracle DB Extractions, AI-Generated SQL Skepticism, Real-World Data Engineering Projects, AI Integration Frustrations
data subTLDR week 46 year 2025
Practicing SQL with Real Databases: Community's Top Suggestions, Preferred Database Software and SQL Studios, Simplifying BI Dashboards, and Lessons from Real-time Factory Telemetry
data subTLDR week 45 year 2025
SQL's 'Group by all' Feature Sparks Debate, Normal Forms (1NF, 2NF, 3NF) Vex Users, Data Quality: Product Management or Engineering Responsibility?, When ETL Jobs Morph into Critical Systems
data subTLDR week 44 year 2025
SQL's Unstoppable Reign, Teaching It to Play Pong, Extra Cash from SQL Gigs, Halloween Tech Humor, Freebie Alert for Non-Commercial DataGrip Users
data subTLDR week 43 year 2025
Securing Analyst Roles: A Blend of Technical Skill and Real-World Presentation, SQL Interview Strategies: The Battle of Brand vs Category, Navigating Recruiter Queries: The Fine Line Between Confidence and Overselling, OpenDBT: A Fork in the Road for dbt-core's Future, Stepping Into Senior Data Engineering: A Mix of Learning, Licensing, and Laughter
data subTLDR week 42 year 2025
Mastering SQL Through Practice, Cheating in Coding Tests?, Frustrations in 'Open' Data Infrastructure, Unseen Efforts in the Workplace
data subTLDR week 41 year 2025
Demystifying Advanced Work Concepts: CTEs vs Temp Tables, Case-Sensitivity in SQL, Monthly Cumulative Balance Techniques, Understanding 'Real-Time' in Data Engineering, and Unseen Challenges in Production Data Pipeline Rollouts
data subTLDR week 40 year 2025
Mastering SQL and CROSS APPLY, Transitioning to Analyst Roles, The Realities of Data Pipelines, Market Shifts in Data Engineering Tools