Data scraping is a technique where a computer program extracts data from human-readable output coming from another program. Normally, data transfer between programs is accomplished using data structur...
Problem description & analysis:
After sorting a table in the Oracle database according to the first and second columns, the third column has non-null values.
Task: Now we need to add a ca...
Learning about and working with web3 data is challenging. This is true even if you already have experience working with data in other domains.I know this because I have been facing this problem for ye...
Messy datasets? Missing values? Duplicates? Inconsistent categories?🧹 This guide shows you how to clean it all up using just pandas — and keep your analysis smooth and reliable.🔥 Learn how to:...
Title: ETL vs ELT: Explained with Pizza Delivery Analogy 🍕
Meet the Two Delivery Styles
ETL = cook before delivering (Transform before Load)
ELT = deliver ingredients, cook at your place (Load t...
Title: 5 Beginner-Friendly Projects to Learn Data Engineering (Using Free Tools)
CSV to SQL Migration Pipeline with Python
Real-Time Twitter Hashtag Counter using Kafka & Spark
Data Lake Setup on ...
🚀 Lakehouses Demystified: The Future of Data is Here!
From Data Lakes to Apache Iceberg & OLake — A Dev’s Guide to the Modern Data Stack
❓ Confused between Data Lakes, Warehouses...
In statistics, exploratory data analysis (EDA) is an approach of analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods. A s...
Git Branching and Merging: A Step-By-Step Guide
As a data engineer, managing and collaborating on code for data pipelines, transformations, and infrastructure is crucial. Git branching and merging are...