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Author: Kamla Kant

Mastering SQL Subqueries: A Comprehensive Guide

1. Introduction A sql subquery is a SQL query nested inside another query. Also called an inner query or nested query, it is enclosed in…

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Mastering SQL Window Functions: A Comprehensive Guide

1. Introduction SQL Window functions are one of the most powerful and most underused features in SQL. Introduced in SQL:2003 and supported by all major…

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Python Functions Explained: Syntax, Parameters & Best Practices

1. Introduction Functions are the single most important building block in Python. A function is a named, reusable block of code that performs a specific…

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Understanding Python Classes: A Comprehensive Guide

1. Introduction Python is a multi-paradigm language, but at its heart it is built around the idea that almost everything is an object. Lists, strings,…

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Connecting Databricks to ADLS Gen2: A Step-by-Step Guide

1. Introduction Azure Data Lake Storage Gen2 (ADLS Gen2) is Microsoft’s enterprise-scale data lake built on top of Azure Blob Storage. It combines the hierarchical…

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Mastering SQL DML: A Comprehensive Guide

Introduction to SQL DML Structured Query Language (SQL) is the backbone of relational database management. Within SQL, statements are grouped into categories based on their…

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PySpark Performance Optimization : Guide to Fast, Scalable Big Data Pipelines

Introduction: Why PySpark Optimization Matters Apache Spark is one of the most powerful distributed computing frameworks ever built. Yet even experienced engineers routinely leave 60–80%…

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PySpark Bucketing: Eliminate Shuffles & Turbocharge Big Data Joins

1. Introduction At petabyte scale, the single most expensive operation in Apache Spark is the shuffle — the cross-network redistribution of data between stages. A…

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Mastering SQL DDL: CREATE, ALTER, DROP & More

INTRODUCTION If you’ve ever worked with a relational database, you’ve almost certainly used SQL DDL — even if you didn’t know it by that name.…

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Python for Beginners: A Complete Guide to Basic Operations

Introduction Python is the world’s most popular programming language for good reason: it reads almost like plain English, runs on any platform, and powers everything…

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PySpark Bucketing: Eliminate Shuffles & Turbocharge Big Data Joins

Kamla Kant March 16, 2026 No Comments

PySpark Performance Optimization : Guide to Fast, Scalable Big Data Pipelines

Kamla Kant March 17, 2026 No Comments

Mastering SQL DML: A Comprehensive Guide

Kamla Kant March 17, 2026 No Comments

Connecting Databricks to ADLS Gen2: A Step-by-Step Guide

Kamla Kant March 17, 2026 No Comments

How to Set Up Apache Spark on Windows, Mac & Linux

Kamla Kant March 9, 2026 No Comments

Understanding Python Classes: A Comprehensive Guide

Kamla Kant March 18, 2026 No Comments

Python Functions Explained: Syntax, Parameters & Best Practices

Kamla Kant March 18, 2026 No Comments

Python for Beginners: A Complete Guide to Basic Operations

Kamla Kant March 16, 2026 No Comments

Building AI Agents with LangChain

Kamla Kant April 3, 2026 No Comments
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Date Engineering

SQL Index : The Complete Developer’s Guide

1. Introduction Every developer has encountered a query that works perfectly on a small dataset but slows to a crawl when the table grows to…

How to Fix Data Skew in Apache Spark

1. Introduction Imagine a PySpark job running on a 20-node cluster. All 199 tasks finish in under a minute. One task is still running at…

Understanding PySpark JOINs Types for Data Engineering

1. Introduction Apache Spark is the go-to engine for large-scale distributed data processing, and PySpark brings Spark’s power to Python. At the heart of almost…

Mastering PySpark Window Functions: A Complete Guide

1. Introduction Window functions are one of the most powerful features in PySpark for analytical workloads. They allow you to compute values across a set…

Mastering PySpark Memory Management for Optimal Performance

1. Introduction Out-of-memory errors, excessive disk spills, slow jobs, and garbage-collection pauses — these are the most common performance killers in PySpark applications, and they…

Data Science

Building AI Agents with LangChain

1. Introduction The most powerful AI applications of today are not simple chatbots that answer questions — they are agents that can reason, plan, and…

SQL Index : The Complete Developer’s Guide

1. Introduction Every developer has encountered a query that works perfectly on a small dataset but slows to a crawl when the table grows to…

How to Fix Data Skew in Apache Spark

1. Introduction Imagine a PySpark job running on a 20-node cluster. All 199 tasks finish in under a minute. One task is still running at…

Understanding PySpark JOINs Types for Data Engineering

1. Introduction Apache Spark is the go-to engine for large-scale distributed data processing, and PySpark brings Spark’s power to Python. At the heart of almost…

Understanding Different Types of SQL JOINs

1. Introduction Databases store data in separate, well-structured tables. But real questions rarely live in a single table — they span employees and departments, orders…

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