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Keyword is AI– This is your go-to space to ask questions, share programming tips, and engage with fellow coding enthusiasts. Whether you’re a beginner or an expert, our community is here to support your journey in coding. Dive into discussions on various programming languages, solve challenges, and exchange knowledge to enhance your skills.

  • SQL Tricky Conceptual Interview Questions

    Perfect—now I understand! You’re looking for tricky, high-quality SQL interview questions like: “What’s the difference between DELETE, DROP, and TRUNCATE?” These are concept-based, real-world, and interview-style—not just syntax exercises. 🔥 Top Tricky SQL Interview Questions (with Answers) Below is a carefully curated list covering real-world understanding, edge cases, performance, and design: ✅ 1. What is…

  • Data Engineer Interview Questions Set4

    Perfect! Here’s everything inline, right in this window: ✅ Part 1: Spark Cluster Simulation Notebook (Inline Code) This Jupyter/Databricks notebook simulates how Spark behaves across cluster components: 🧠 Use .explain(True) at any step to inspect execution plan. ✅ Part 2: Spark Execution Flow — Mindmap Style Summary (Inline) ✅ Optional: Mindmap Format You Can Copy…

  • Data Engineer Interview Questions Set3

    Let’s visualize how Spark schedules tasks when reading files (like CSV, Parquet, or from Hive), based on: ⚙️ Step-by-Step: How Spark Schedules Tasks from Files 🔹 Step 1: Spark reads file metadata When you call: 🔹 Step 2: Input Splits → Tasks File Size Block Size Input Splits Resulting Tasks 1 file, 1 GB 128…

  • Data Engineer Interview Questions Set2

    Let’s directly compare Partitioning vs Bucketing in Spark from an optimization point of view. ✅ TL;DR Answer Purpose Best Choice Filtering / Scanning ✅ Partitioning Joining Large Tables ✅ Bucketing 🧠 Key Differences Feature Partitioning Bucketing Definition Splits data into directory-based partitions Splits data into fixed number of hash buckets Best For Optimizing filters and…

  • What is Hive? Important Points, Interview Questions

    Absolutely! Let’s break down the different Hive Table Types, their definitions, and the key differences with practical examples and a comparison table. 🧠 Hive Tables and Their Types Hive provides logical abstraction over data in HDFS or compatible storage systems. There are 4 major types of Hive tables: 1️⃣ Managed Tables (Internal Tables) ✅ What…

  • How SQL queries execute in a database, using a real query example.

    We should combine both perspectives—the logical flow (SQL-level) and the system-level architecture (engine internals)—into a comprehensive, step-by-step guide on how SQL queries execute in a database, using a real query example. 🧠 How a SQL Query Executes (Combined Explanation) ✅ Example Query: This query goes through the following four high-level stages, each containing deeper substeps.…

  • Comprehensive guide to important Points and tricky conceptual issues in SQL

    Let me explain why NOT IN can give incorrect results in SQL/Spark SQL when NULL is involved, and why LEFT ANTI JOIN is preferred in such cases—with an example. 🔥 Problem: NOT IN + NULL = Unexpected behavior In SQL, when you write: This behaves differently if any value in last_week.user_id is NULL. ❌ What…

  • RDD and Dataframes in PySpark- Code Snipppets

    Where to Use Python Traditional Coding in PySpark Scripts Using traditional Python coding in a PySpark script is common and beneficial for handling tasks that are not inherently distributed or do not involve large-scale data processing. Integrating Python with a PySpark script in a modular way ensures that different responsibilities are clearly separated and the…

  • Azure Databricks tutorial roadmap (Beginner → Advanced), tailored for Data Engineering interviews in India

    Here’s your complete advanced tutorial covering: ✅ Concepts Explained 1. Medallion Architecture (Bronze → Silver → Gold) 2. Auto Loader vs Batch Load Auto Loader Batch Load Incremental file detection One-time or scheduled loads Uses cloud file notification Manual or cron-based Scalable & schema-evolving Static schema mostly 3. Databricks Workflows (Jobs) 4. CI/CD in Databricks…

  • Spark SQL Join Types- Syntax examples, Comparision

    Here are Spark SQL join questions that are complex, interview-oriented, and hands-on — each with sample data and expected output to test real-world logic. ✅ Setup: Sample DataFrames 🔹 Employee Table (emp) 🔹 Department Table (dept) 🧠 1. Find all employees, including those without a department. Show department name as Unknown if not available. 🧩…

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