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
The CASE statement is one of the most powerful and flexible tools in SQL. It allows conditional logic anywhere in your query—SELECT, WHERE, GROUP BY, ORDER BY, and especially within aggregations. ✅ General Syntax of CASE 🔍 Use Cases of CASE in Different Clauses ✅ 1. In SELECT — Conditional column values 📌 Labeling or…
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
Great! Here’s how we’ll structure both: 🧪 Hands-On Databricks Notebooks (Ready-to-Use) Each notebook is short and focused on one concept, designed for execution in Azure Databricks. 📘 Notebook 1: Spark RDD Basics 📘 Notebook 2: DataFrame Basics 📘 Notebook 3: Delta Lake & Lakehouse 📘 Notebook 4: Databricks Workspace Basics 🎯 Sample Interview Questions (Conceptual…
Spark SQL Join Types- Syntax examples, Comparision
Here’s the PySpark equivalent of all 4 types of joins — inner, left, right, and full outer — with duplicate key behavior clearly illustrated. ✅ Step 1: Setup Sample DataFrames 1️⃣ Inner Join (default) ✅ Output: All id=1 rows from both sides are matched → 4 rows total. 2️⃣ Left Join ✅ Output: All rows…
Date and Time Functions- Pyspark Dataframes & Pyspark Sql Queries
Python date functionality vs Pyspark date functionality Python and PySpark both provide extensive date and time manipulation functionalities, but they serve different use cases and are part of distinct ecosystems. Here’s a comparison of Python date functionality (using the standard datetime module) and PySpark date functionality (using PySpark SQL functions like date_add, date_format, etc.). 1. Python Date Functionality Python’s standard datetime module provides a comprehensive suite…
Apache Spark RDDs: Comprehensive Tutorial
Absolutely! Here’s a complete Spark RDD tutorial with structured flow to help you master the concept from basics to advanced interview-level understanding. 🔥 Spark RDD Tutorial: Beginner to Advanced 🧠 1. What is an RDD? 🛠️ 2. How RDDs Are Created From a collection (parallelize): From an external file (textFile): 🔄 3. RDD Lineage and…
DataBricks Tutorial for Beginner to Advanced
Great! Since your first topic is Data Lakehouse Architecture, the next step should build smoothly toward using Databricks practically—with cloud context (AWS or Azure). Here’s a suggested progression roadmap and what cloud-specific highlights to include at each step: 🔁 Follow-Up Sequence (Beginner → Advanced) ✅ 1. Lakehouse Basics (You’ve Done) ✅ 2. Cloud Foundation (Azure…
Complete crisp PySpark Interview Q&A Cheat Sheet
Q1.Default Sizes for Broadcast in PySpark In PySpark, broadcasting is used to efficiently share a small DataFrame or variable with all worker nodes to avoid shuffling during joins. 🔹 Default Sizes for Broadcast in PySpark The default maximum size for broadcasting is: This means: 🔧 Configurable Setting You can change this threshold via Spark config:…
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…