18 Aug 2026, 19:15 UTC562 views8 reactionsread 22 August 2026 🚀 Data Engineering Fundamentals – Part 6
📌 ETL vs ELT: How Data Moves from Source to Destination
ETL and ELT are two of the most important concepts in Data Engineering.
Both are used to move and transform data, but the order of operations is different.
👉 ETL = Extract → Transform → Load
👉 ELT = Extract → Load → Transform
🔄 1. What is ETL?
ETL stands for: Extract → Transform → Load
Data is extracted from the sourc…
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11 Aug 2026, 07:29 UTC≈1,140 viewsread 22 August 2026 Photo
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8 Aug 2026, 21:11 UTC≈1,200 views4 reactionsread 22 August 2026 Data Warehouse
Stores:
Cleaned sales data
Customer KPIs
Revenue reports
Historical business data
Used for dashboards and reporting.
Data Lakehouse
Combines raw and processed data in one platform, allowing analysts and data scientists to run analytics and machine learning workloads without maintaining separate storage systems.
🎯 Which One Should You Use?
✅ Use a Database for day-to-day transactional applicat…
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8 Aug 2026, 21:11 UTC≈1,050 views8 reactionsread 22 August 2026 🚀 Data Engineering Fundamentals – Part 4
📌 Databases vs Data Warehouses vs Data Lakes vs Lakehouses
One of the most common interview questions for Data Engineers is understanding the difference between these four data storage systems.
Although they all store data, each serves a different purpose.
🗄️ 1. Database
A database is designed to store and manage current operational data for day-to-day business activities…
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5 Aug 2026, 07:43 UTC≈1,310 views2 reactionsread 22 August 2026 Photo
🚨 BREAKING: PW Skills x Microsoft just launched The Complete Live Gen AI Engineering Program
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17 Jul 2026, 21:05 UTC≈2,450 views19 reactionsread 22 August 2026 🚀 Top 20 Data Engineering Terms You Should Know
1. Data Engineering
Data Engineering is the practice of designing, building, and maintaining systems that collect, process, transform, and store data for analytics, reporting, and machine learning.
2. Data Pipeline
A data pipeline is an automated workflow that moves data from one or more sources to a destination while applying transformations such as cleaning, validat…
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2 Jul 2026, 17:41 UTC≈3,160 views9 reactionsread 22 August 2026 7 Days = 7 Certificates 🎯
1/ Google Certifications: https://developers.google.com/certification
2/ PayPal (Technical Compliance / PCI): https://www.paypal.com/in/webapps/mpp/pci-compliance
3/ Deloitte Academy (Learning & Certifications): https://www.deloitte.com/cy/en/services/deloitte-academy.html
4/ Oracle Certifications: https://academy.oracle.com/en/resources-oracle-certifications.html
5/ IBM Certifications:…
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21 May 2026, 06:55 UTC≈4,720 views18 reactionsread 22 August 2026 🚀 Top Skills Every Data Engineer Should Learn 📊🔥
🧠 1. SQL Mastery
✔ Complex Queries
✔ JOINS & Window Functions
✔ Query Optimization
✔ Data Modeling
✔ Stored Procedures
🐍 2. Programming Skills
✔ Python for Automation
✔ APIs & JSON
✔ Data Processing Scripts
✔ Error Handling
🛠 Libraries to Learn:
✔ Pandas
✔ PySpark
✔ Requests
⚡ 3. ETL & Data Pipelines
✔ Extract, Transform, Load
✔ Workflow Automation
✔ Scheduling Job…
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18 May 2026, 21:54 UTC≈3,670 views3 reactionsread 22 August 2026 📈 FREE Live Masterclass for Future Business Analysts!
📊 4 Steps to Become a Successful Business Analyst in 2026
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…
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9 May 2026, 21:58 UTC≈3,710 views9 reactionsread 22 August 2026 What is the difference between data scientist, data engineer, data analyst and business intelligence?
🧑🔬 Data Scientist
Focus: Using data to build models, make predictions, and solve complex problems.
Cleans and analyzes data
Builds machine learning models
Answers “Why is this happening?” and “What will happen next?”
Works with statistics, algorithms, and coding (Python, R)
Example: Predict which customers are likel…
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3 May 2026, 18:02 UTC≈3,430 views16 reactionsread 22 August 2026 ✅ Skills Required to Become a Data Engineer ⚙️🚀
🧠 PROGRAMMING
1. Python (Data Pipelines)
2. Java / Scala
3. Object-Oriented Programming
4. Scripting (Automation)
5. Debugging Skills
6. Code Optimization
7. API Handling
8. Version Control (Git)
🗄️ DATABASES
1. SQL (Advanced Queries)
2. NoSQL (MongoDB, Cassandra)
3. Database Design
4. Data Modeling
5. Indexing Partitioning
6. Query Optimization
7. Data Warehousing
8…
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4 Apr 2026, 06:03 UTC≈4,250 views12 reactionsread 22 August 2026 🧠 SQL Interview Question (Running Total of Sales)
📌
sales(order_id, order_date, amount)
❓ Ques :
👉 Calculate the running total of sales for each day
👉 Return order_date, daily_sales, running_total
🧩 How Interviewers Expect You to Think
• Aggregate sales per day 📊
• Use window function for cumulative sum
• Order data correctly for running calculation
💡 SQL Solution
WITH daily_sales AS (
SELECT
orde…
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