29 Aug 2026, 05:37 UTC672 views4 reactionsread 3 September 2026 Example:
Source Database → CDC → Only Changed Records → Data Platform
CDC is especially useful for keeping analytical systems synchronized with operational databases.
⚠️ 9. Challenges in Data Ingestion
A production ingestion pipeline must handle:
Duplicate Data, Missing Data, Schema Changes, Late Data, Network Failures, High Volume
🛡️ 10. Important Data Ingestion Best Practices
A reliable ingestion pipeline sh…
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29 Aug 2026, 05:37 UTC560 views1 reactionsread 3 September 2026 🚀 Data Engineering Fundamentals – Part 7
📥 Data Ingestion: How Data Enters a Data Platform
Data ingestion is one of the first steps in almost every data engineering pipeline.
In simple terms:
Data ingestion = collecting data from different sources and moving it into a system where it can be stored and processed.
📌 1. What is Data Ingestion?
Data ingestion is the process of collecting data from various sourc…
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18 Aug 2026, 19:15 UTC≈1,310 views12 reactionsread 3 September 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≈1,710 viewsread 3 September 2026 Photo
📊 The 90-Minutes Business Analytics Masterclass
Learn how to transform raw data into powerful dashboards and understand the tools used by modern Business Analysts. 🚀
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…
8 Aug 2026, 21:11 UTC≈1,680 views4 reactionsread 3 September 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≈1,520 views7 reactionsread 3 September 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≈1,600 views2 reactionsread 3 September 2026 Photo
🚨 BREAKING: PW Skills x Microsoft just launched The Complete Live Gen AI Engineering Program
Generative AI isn't the future anymore, it's the present. And now you can master it live, with Microsoft's backing behind you.
Learn Agentic AI, LLMOps & real-world AI Development, taught through live interactive classes, in Hinglish, over a structured 5-month journey.
🎓 Bonus: Includes a Premium Microsoft Module, added cr…
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17 Jul 2026, 21:05 UTC≈2,730 views20 reactionsread 3 September 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≈3,490 views9 reactionsread 3 September 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≈4,960 views21 reactionsread 3 September 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≈3,850 views4 reactionsread 3 September 2026 📈 FREE Live Masterclass for Future Business Analysts!
📊 4 Steps to Become a Successful Business Analyst in 2026
📅 May 20th, 2026
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🌐 English
🎟️ 90 Minutes of Career Guidance & Industry Insights
💡 Learn:
✔ Core Business Analytics Skills & AI usage
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✔ Tools Used by Top Companies
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Students | Freshers | Working Professionals | Career Switchers
…
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9 May 2026, 21:58 UTC≈3,860 views9 reactionsread 3 September 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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