SQL Podcast Summaries
SQL on Yedapo: 9 summarized podcast and YouTube episodes. Each includes key takeaways, core concepts and notable quotes with timestamps.
Can You Solve These Advanced PostgreSQL Queries? 🔥 Joins, GROUP BY, HAVING
Thapa Technical
Jun 21, 2026
This tutorial demonstrates how to perform complex multi-table joins in PostgreSQL to solve real-world business problems. By connecting Courses, Users, and Enrollments tables, you can isolate high-value metrics like premium course popularity and departmental cost averages, moving beyond simple queries to actionable database analysis.
Key insight: When using aggregate functions alongside non-aggregated columns in a SELECT statement, you must include the non-aggregated columns in the GROUP BY clause to ensure accurate data grouping.
Advanced PostgreSQL Practice Session | Real SQL Interview Questions & Solutions
Thapa Technical
Jun 19, 2026
This session bridges the gap between basic SQL theory and complex enterprise requirements. It demonstrates how to combine multiple Joins, Aggregate functions, Grouping, and complex filtering via Having clauses into a single, high-level query to solve real business problems like identifying top-spending students.
Key insight: When building complex business queries, filtering before aggregation requires the 'WHERE' clause, while filtering on aggregate results (like a specific total spent amount) must be performed using the 'HAVING' clause after the 'GROUP BY' statement.
PostgreSQL GROUP BY & HAVING Clause Explained with Practical Questions
Thapa Technical
Jun 18, 2026
The instructor clarifies the functional divide between 'Group By' and 'Having' in PostgreSQL. He explains that 'Group By' is used to organize data into aggregate sets, while 'Having' acts as a secondary filter specifically for those aggregated results. Adhering to the logical query execution sequence—Select, From, Where, Group By, Having—is critical to avoiding syntax errors.
Key insight: The golden rule of SQL: Any column listed in a SELECT statement that is not inside an aggregate function must be included in the GROUP BY clause to prevent execution errors.
PostgreSQL Aggregate Functions Tutorial | COUNT, SUM, AVG, MIN, MAX with Real Examples
Thapa Technical
Jun 15, 2026
एग्रीगेट फंक्शन्स जैसे COUNT, SUM, और AVG किसी भी कॉलम के विशाल डेटा को प्रोसेस कर केवल एक समराइज्ड आउटपुट देते हैं। यह ट्यूटोरियल इन फंक्शन्स के सटीक सिंटैक्स, एलीयासेस के महत्व, और नल वैल्यूज को संभालने की बेस्ट प्रैक्टिसेस को स्पष्ट करता है, जो डेटा एनालिटिक्स में सटीकता के लिए अनिवार्य है।
Key insight: COUNT(*) और COUNT(column) के बीच का अंतर यह है कि स्टार नल वैल्यूज को भी शामिल करता है, जबकि स्पेसिफिक कॉलम का उपयोग करने पर नल वैल्यूज को एक्सक्लूड कर दिया जाता है।
Building Production Grade Text to SQL Application Using Oracle AI Database - Select AI
Krish Naik
May 27, 2026
Krish Naik demonstrates how Oracle 26 AI’s 'Select AI' feature enables secure text-to-SQL applications. By exposing only schema metadata rather than raw data to Large Language Models, the system maintains strict governance and data security while allowing users to query transactional retail databases using plain English.
Key insight: Oracle 26 AI allows LLMs to generate and execute SQL without ever seeing the actual sensitive data, ensuring that corporate security and data governance remain fully intact.
Motivo do meu sumiço...
Filipe Deschamps
Nov 20, 2025
O desenvolvedor criou uma versão interativa do "Show do Milhão" focada em conceitos de tecnologia e SQL. O projeto prioriza a experiência do usuário com mecânicas imersivas, como trilhas sonoras dinâmicas e explicações didáticas em caso de erro, oferecendo uma alternativa produtiva ao uso passivo de redes sociais.
Key insight: O jogo inclui um modo específico para transmissões ao vivo, que remove o apresentador virtual e ajusta o layout para tela cheia, permitindo que o streamer conduza o jogo para sua audiência.
🧠 ¿Qué es la normalización en bases de datos? Explicación + ejemplos - Programación en español
Programación en español
Oct 19, 2025
La integridad de los datos depende de un diseño estructural riguroso. Este análisis explica cómo aplicar las formas normales para eliminar redundancias y dependencias transitivas, garantizando que tu software sea escalable y robusto a largo plazo.
Key insight: La desnormalización no es un error de diseño, sino una estrategia consciente para optimizar la lectura sobre la escritura cuando el costo de los joins en bases de datos relacionales es demasiado alto.
MySQL: Como Deletar Registros Hard Delete e Soft Delete (PHP)
Programação Web
Oct 6, 2025
Effective database management requires understanding the trade-offs between permanent record removal and status-based suppression. This tutorial demonstrates how to implement both 'hard' deletions using standard SQL commands and 'soft' deletions to maintain data for auditing purposes.
Key insight: Soft deletion is essentially an UPDATE operation rather than a DELETE, allowing you to hide records from users while keeping the data intact in the database for auditing.
Discutindo sobre Banco de Dados - Dos primórdios a Big Data
Fabio Akita
Jul 22, 2023
O domínio de bancos de dados exige compreender como os dados são armazenados fisicamente e gerenciados, superando a visão simplista de 'tabelas'. Fábio Akita defende que a escolha entre SQL e NoSQL deve ser guiada pela natureza do problema e requisitos de escalabilidade, não por tendências ou preferências superficiais de ferramentas.
Key insight: Fazer um loop para procurar itens em uma lista é um erro de principiante inaceitável em larga escala; a estrutura de dados correta — como a Árvore B — transforma uma busca linear (lenta) em uma operação logarítmica, ganhando ordens de grandeza em performance.