Medallion Architecture Explained — Bronze, Silver, and Gold Layers
Vishal Jadhav The Medallion Architecture is the most widely adopted pattern for organizing data in a lakehouse. It divides your data into three layers — Bronze, Silver, and Gold — each with…
Data Engineering
How to Build a Data Lakehouse from Scratch – A Complete Guide
A data lakehouse combines the best of data lakes and data warehouses — giving you cheap, scalable storage with the reliability and performance of a warehouse. In this guide, you’ll…
Essential debugging with a Local Spark Cluster on Windows
Are you looking to master Apache Spark troubleshooting, hi, but find that local mode hides real-world errors? Running Spark in local mode executes everything in a single JVM. This setup…
Top 10 Data Engineering Skills Every Company Needs in 2026
Most in demand skills for data engineers in 2026
What Is Data Engineering? A Complete Guide for 2026
Data Engineering has become one of the most essential disciplines in today’s data-driven world. Whether you’re a student, a beginner exploring tech, techie or someone interested in how companies use…
Data Modeling – How to design it?
Data modeling is a structured approach to designing and organizing data for a database or system. Here are the key steps: 1. Identify Business RequirementsUnderstand the purpose of the data…
What Are Accumulators, and How Do They Work?
What Are Accumulators, and How Do They Work? This is a most frequently asked PySpark interview question! Here’s the breakdown: Table of Contents Toggle What Are Accumulators? How Do They…
How Catalyst Optimizer Works in PySpark
Table of Contents Toggle What is the Catalyst Optimizer, and How Does It Work? What is the Catalyst Optimizer? How Does It Work? What is the Catalyst Optimizer, and How…
How to handle skewed data in PySpark?
How Do You Handle Skewed Data in PySpark? This is a critical PySpark interview question! Here’s the breakdown: ✅ What is Skewed Data? A skewed partition in Spark occurs when…
Given a code – How Catalyst Optimizer Works in This Code?
You have the following code. Explain how the catalyst optimizer works in the code? Explain in detail from pyspark.sql import SparkSession # Initialize Spark session spark = SparkSession.builder \ .appName("SalesCustomerJoin")…