Feb 18 · 6 min read · Data transformation is defined as the technical process of converting data from one format, standard, or structure to another — without changing the content of the datasets — to improve the data quality (Spiceworks.com). This is one of the important ...
Join discussionFeb 16 · 14 min read · Date: February 16, 2026Module: Data Engineering Zoomcamp - Module 4Topic: Analytics Engineering with dbt Introduction Just completed Module 4 of the Data Engineering Zoomcamp - Analytics Engineering with dbt (data build tool)! This module was transf...
Join discussionFeb 16 · 2 min read · Question 1: Find the source of data based on below requirement and fetch them into Power QueryQuestion 2: Find the source “public data” regarding the amount of car sales in the local market. Question 1 answer : https://web.archive.org/web/2025112111...
Join discussionJan 16 · 2 min read · In today’s data-driven world, businesses depend on smooth data integration and processing to make smart decisions. Matillion is a popular cloud-native ETL (Extract, Transform, Load) tool that helps move data from many sources into cloud data warehous...
Join discussionJan 13 · 3 min read · In today’s data-driven world, managing and analyzing information efficiently is critical for businesses of all sizes. XML (eXtensible Markup Language) is a widely used format for storing structured data, but while it is perfect for system-to-system c...
Join discussion
Jan 9 · 3 min read · Introduction In today’s data-driven world, organizations often work with XML (eXtensible Markup Language) to store, transport, and exchange structured information. XML is ideal for machine processing but can be cumbersome for human analysis. Converti...
Join discussionDec 29, 2025 · 3 min read · In today’s data-driven world, businesses and individuals constantly work with information stored in different formats. Text files with structured columns are common, but they often need to be converted into CSV (Comma-Separated Values) format for ana...
Join discussion
Dec 23, 2025 · 8 min read · Note: this post is part of a series of posts about Data Analysis In The Real World Transforming your data is a crucial skill that becomes evident only after you’ve worked with data for a while. It’s only after seeing enough bad data interpretations a...
Join discussionDec 16, 2025 · 3 min read · 📜 What Does “Raw to Ready” Mean? Every data journey begins with raw data — logs, events, transactions, files, APIs, sensors, and user interactions.Raw data is often incomplete, inconsistent, duplicated, or unstructured. Before it can be analysed, it...
Join discussion
Dec 10, 2025 · 3 min read · 🔍 Introduction Creating new features is one of the most impactful steps in feature engineering. While algorithms learn patterns, features tell the model what patterns to look for. By transforming raw data into meaningful representations, we help mac...
Join discussion