World of Data
-
Data Engineering
Google Cloud Functions: How to Automate Data Ingestion Pipeline Within GCP
Introduction In the world of data, getting your hands on the data is the first, most critical step. Manually downloading…
Read More » -
Analytics
Active vs Inactive Relationships in Power BI: What They Are and Why They Matter
When you start building data models in Power BI, one of the first things you’ll realize is that not all…
Read More » -
Data Engineering
Pandas vs PySpark: How to Choose the Right Tool for Your Data Ingestion Pipeline
Introduction Moving data from source to sink is the first technical step in a data pipeline. This process, called data…
Read More » -
Chart Libraries
How to Build Stunning Data Visualizations in Python with Matplotlib and Plotly
Introduction Visualization is the skill that gives this data a voice, transforming numbers into clear, compelling stories that drive decisions.…
Read More » -
Analytics
Power BI vs. Looker Studio: How To Choose The Right BI Tool for Your Marketing Team in 2026
Introduction Choosing the right Business Intelligence (BI) tool for your marketing team in 2026 can feel overwhelming. You’re constantly told…
Read More » -
Analytics
Power BI vs Looker Studio vs Tableau: How to Choose BI Tool in 2025
Struggling to pick the right data visualization tool in 2025? Choosing can be tough, especially with various great choices out…
Read More » -
Sheets
How to Build Efficient Looker Dashboard with Google sheets
A slow dashboard isn’t just an inconvenience. It can cost teams time, insight, and credibility. Whether you’re reporting on sales…
Read More » -
Sheets
Date And Time Data Cleaning In Excel: A Complete Guide
Introduction When working with real-world data especially in retail, logistics, or customer-facing industries, date And time data cleaning In Excel…
Read More » -
Sheets
How to Clean Text Data in Excel: A Beginner’s Guide
Introduction Clean text data in Excel is essential for accurate, reliable analysis.When working with text data on Excel, dirty data…
Read More » -
Data Engineering
Steps and Best Practices To Transform Data For Analysis
Data transformation is the backbone of modern analytics. It involves converting raw data into actionable insights by cleansing, structuring, and…
Read More »