Welcome to the Future – AI Hints Today
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.
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
🎥 Curated Video Playlist (Azure Databricks + Spark) 🟢 Beginner Videos 🟡 Intermediate 🔴 Advanced + Use Cases Here’s an expanded Mock Interview Q&A Sheet with 40+ high-impact questions across core Databricks topics, tailored specifically for Data Engineer interviews in India. 📄 Azure Databricks Data Engineer – Mock Interview Q&A Sheet (Extended) # Category Question…
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. 🧩…
Date and Time Functions- Pyspark Dataframes & Pyspark Sql Queries
PySpark Date Function Cheat Sheet (with Input-Output Types & Examples) This one-pager covers all core PySpark date and timestamp functions, their input/output types, and example usage. Suitable for data engineers and interview prep. 🔄 Date Conversion & Parsing Function Input Output Example to_date(col, fmt) String Date to_date(‘2025-06-14’, ‘yyyy-MM-dd’) → 2025-06-14 to_timestamp(col, fmt) String Timestamp to_timestamp(‘2025-06-14…
Apache Spark RDDs: Comprehensive Tutorial
#Define a function to apply to each row def process_row(row):print(f”Name: {row[‘name’]}, Score: {row[‘score’]}”) #Apply the function using foreach df.foreach(process_row).. My question is- the process function for each element gets applied at driver side, is there a way that this loop will execute on distributed side You’re absolutely right — and this is a key concept…
DataBricks Tutorial for Beginner to Advanced
Here’s Post 5: Medallion Architecture with Delta Lake — the heart of scalable Lakehouse pipelines. This post is written in a tutorial/blog format with clear steps, diagrams, and hands-on examples for Databricks. 🪙 Post 5: Medallion Architecture with Delta Lake (Bronze → Silver → Gold) The Medallion Architecture is a layered data engineering design that…
Complete crisp PySpark Interview Q&A Cheat Sheet
🔍 What Are Accumulators in PySpark? Accumulators are write‑only shared variables that executors can only add to, while the driver can read their aggregated value after an action completes. Feature Detail Purpose Collect side‑effect statistics (counters, sums) during distributed computation Visibility Executors: can add()Driver: can read result (only reliable after an action) Data types Built‑ins: LongAccumulator, DoubleAccumulator,…
Python Lists- how it is created, stored in memory, and how inbuilt methods work — including internal implementation details
In Python, a list is a mutable, ordered collection of items. Let’s break down how it is created, stored in memory, and how inbuilt methods work — including internal implementation details. 🔹 1. Creating a List 🔹 2. How Python List is Stored in Memory Python lists are implemented as dynamic arrays (not linked lists…
Data Engineer Interview Questions Set1
1.Tell us about Hadoop Components, Architecture, Data Processing 2.Tell us about Apache Hive Components, Architecture, Step by Step Execution 3.In How many ways pyspark script can be executed? Detailed explanation 4.Adaptive Query Execution (AQE) in Apache Spark- Explain with example 5.DAG Scheduler in Spark: Detailed Explanation, How it is involved at architecture Level 6.Differences between…