10 Nov 2026, 11:35 UTC244 views1 reactionsread 11 November 2026 Photo
📊 FREE MASTER DASHBOARD CREATION MASTERCLASS! 🚀
Transform Raw Data into Powerful Dashboards in just 90 Minutes! 💻 Business Analytics with AI 📊⚙️
🔥 Learn to create impactful dashboards using in-demand Business Analytics tools and gain practical insights into the Business Analyst role.
📅 Date: 12th November 2026
⏰ Time: 7:00 PM (IST) 💯 ENGLISH
🎯 Who Can Attend?
Students, Freshers, Graduates & Working Professionals.…
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3 Nov 2026, 11:17 UTC794 views12 reactionsread 11 November 2026 ✅ If you're serious about learning Data Engineering for real-world pipelines, analytics, or tech roles — follow this roadmap 🛠️📊
1. Understand What Data Engineering Is
– It’s about building systems to collect, store, and process data efficiently.
2. Learn SQL Deeply
– Master joins, window functions, CTEs, optimization — it's your foundation.
3. Get Strong in Python
– Focus on data handling with Pandas, file I/O, e…
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30 Oct 2026, 18:28 UTC≈1,080 views6 reactionsread 11 November 2026 🏗️ Every dashboard, analytics report, AI application and machine learning model depends on something most people don't see:
Reliable data infrastructure.
That is where Data Engineering comes in.
Data engineers build the systems and pipelines that collect, transform, store and deliver data so that analysts, data scientists and businesses can actually use it.
Here are the major areas you can explore:
📥 Data Ingest…
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29 Aug 2026, 05:37 UTC≈3,580 views11 reactionsread 11 November 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 UTC≈2,760 views5 reactionsread 11 November 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≈2,570 views14 reactionsread 11 November 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≈2,590 viewsread 11 November 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. 🚀
📅 August 12, 2026
⏰ 7:00 PM
🌐 English | LIVE Online
💡 What You'll Learn:
✅ In-demand Business Analytics tools
✅ Turning data into meaningful insights
✅ Creating powerful dashboards
✅ Understanding real-world Business Analyst workflows
🎯 Eligibility:
…
8 Aug 2026, 21:11 UTC≈2,460 views6 reactionsread 11 November 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≈2,300 views10 reactionsread 11 November 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≈2,230 views2 reactionsread 11 November 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≈3,340 views22 reactionsread 11 November 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≈4,110 views10 reactionsread 11 November 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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