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PrepNPlaced

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🚀 Welcome to the Elite Data Engineering & Agentic AI Hub! 🚀 👑 Community Creator: Mandar Patil 👨‍💻 Admin & Mentor: Durgesh Yadav The era of basic data tasks is over. With Agentic AI evolving the industry, up to 60% of traditional Data Analyst roles

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📈 نظرة تحليلية على قناة تيليجرام PrepNPlaced

تُعد قناة PrepNPlaced (@dataanalyticsbuddy) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 27 218 مشتركاً، محتلاً المرتبة 7 060 في فئة التعليم والمرتبة 14 815 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 27 218 مشتركاً.

بحسب آخر البيانات بتاريخ 18 سبتمبر, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -556، وفي آخر 24 ساعة بمقدار -22، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 3.94‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً N/A‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 1 072 مشاهدة. وخلال اليوم الأول يجمع عادةً 0 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 2.
  • الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل analyst, sql, analytic, dashboard, roadmap.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
🚀 Welcome to the Elite Data Engineering & Agentic AI Hub! 🚀 👑 Community Creator: Mandar Patil 👨‍💻 Admin & Mentor: Durgesh Yadav The era of basic data tasks is over. With Agentic AI evolving the industry, up to 60% of traditional Data Analyst ...

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 19 سبتمبر, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.

27 218
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أرشيف المشاركات
🏏 FREE LIVE: PySpark on Cricket Data — End-to-End in Databricks 👉 https://www.prepnplaced.com/webinar/pyspark-cricket-project Saturday, 29 August · 12:00 PM IST · 2 hours · Zoom · Free Most PySpark practice stops at .show(). This session runs all the way to a Delta table. What we build in 2 hours: ✅ Load raw ball-by-ball match data into Databricks ✅ groupBy, window functions, joins and UDFs ✅ Charts: top scorers, run rate, win margins ✅ Tuning: cache(), partitions, shuffle settings ✅ Save the processed output to Delta ✅ Live Q&A at the end Who it’s for: anyone preparing for Data Engineering roles who needs a finished project to point at. Basic Python or SQL is enough, no prior Spark work needed. You get: live hands-on session, live Q&A, and session notes + resources by email. Recording optional at ₹99. Host: Durgesh Yadav — Founder @ PrepNPlaced, Sr. Data Engineer @ 7-Eleven, ex-Target Reserve your free seat 👇 https://www.prepnplaced.com/webinar/pyspark-cricket-project

🚨 Free 3-hour live class this Sunday 📊 Data Modelling — we design a full food-delivery schema on screen 📅 30 Aug · 🕛 12 P
🚨 Free 3-hour live class this Sunday 📊 Data Modelling — we design a full food-delivery schema on screen 📅 30 Aug · 🕛 12 PM IST · 💻 Zoom · 💸 Free 🔑 Keys, ERD, 1NF→3NF, live Q&A 👉 prepnplaced.com/webinar/data-modelling One-liner for status/DM 📊 Free 3-hr live Data Modelling class, Sun 30 Aug, 12 PM IST 👉 prepnplaced.com/webinar/data-modelling 💸 Free seat, notes included.

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Only for Next 30 minutes you can avail this Offer so dont Regret afterwards.

Get Best Notes for Learning Data Engineering | Analytics | Machine Learning 📊🤖 Simply go to www.prepnplaced.com/prepnplaced
Get Best Notes for Learning Data Engineering | Analytics | Machine Learning 📊🤖 Simply go to www.prepnplaced.com/prepnplaced-notes Get Your First PDF for Free ! 🎁

🚨 Do you know where *Data Engineering is heading in 2026?* 🔥 *Microsoft Fabric is becoming one of the most in-demand Data E
🚨 Do you know where *Data Engineering is heading in 2026?* 🔥 *Microsoft Fabric is becoming one of the most in-demand Data Engineering technologies,* with growing enterprise adoption and demand for Fabric Data Engineers. (Microsoft Learn) 💰 Build the right skills and target  *30–80 LPA+ opportunities in India + high-paying Data Engineering opportunities globally*. Want to become a *Microsoft Fabric Data Engineer?* 📲 Join our FREE WhatsApp Community for updates, opportunities & learning: https://chat.whatsapp.com/Eb4ffcrFsdW2BNTAgC6VpB?s=sh&p=i&mlu=4&amv=2

🟢Want to become Data Engineer — If Yes then I recommend this Place to you Give a Try ⤵️ Join the free WhatsApp group for sch
🟢Want to become Data Engineer — If Yes then I recommend this Place to you Give a Try ⤵️ Join the free WhatsApp group for schedule + seats and become a Microsoft Fabric Data Engineer: 👉 https://chat.whatsapp.com/LCOyVT6Ll6n1zvF7jUwP0H ⏰ 8:00–9:00 AM IST | Mon–Fri | 6 weeks 👨‍🏫 Aditya Chandak, Microsoft Certified Trainer (11+ yrs) You'll build: OneLake & Lakehouse, Data Factory pipelines, SQL + PySpark, Power BI on Fabric, and one end-to-end project. One hour a day before work starts. That's the whole ask.

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E𝐱𝐜𝐢𝐭𝐢𝐧𝐠 𝐍𝐞𝐰𝐬 𝐟𝐨𝐫 𝐚𝐥𝐥 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐬! My friend Aditya Chandak (Microsoft Certified Trainer) has officially started his 𝗟𝗶𝘃𝗲 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗮𝗯𝗿𝗶𝗰 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 — and if you've been wanting to get into Microsoft Fabric seriously, it's not too late to join! ❄️ 🎯 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗮𝗯𝗿𝗶𝗰 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗟𝗶𝘃𝗲 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 ✅ 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂'𝗹𝗹 𝗟𝗲𝗮𝗿𝗻: 🔹 Microsoft Fabric — End to End 🔹 OneLake & Lakehouse Architecture 🔹 Data Factory inside Fabric 🔹 SQL & PySpark for Data Engineering 🔹 Power BI Integration with Fabric 🔹 Real-World Projects & Industry Use Cases 📌 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 𝗗𝗲𝘁𝗮𝗶𝗹𝘀 👨‍🏫 Trainer: Aditya Chandak | Microsoft Certified Trainer ✅ 🟢 𝗕𝗮𝘁𝗰𝗵 𝗦𝘁𝗮𝗿𝘁 𝗗𝗮𝘁𝗲: 1 September  ⏰ 𝗧𝗶𝗺𝗲: 𝟴:𝟬𝟬 AM – 𝟵:𝟬𝟬 AM 𝗜𝗦𝗧 📆 Duration: 1.5 Months | LIVE Sessions 💬 𝗝𝗼𝗶𝗻 𝗪𝗵𝗮𝘁𝘀𝗔𝗽𝗽 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 𝗨𝗽𝗱𝗮𝘁𝗲𝘀: 👉  https://chat.whatsapp.com/LCOyVT6Ll6n1zvF7jUwP0H Microsoft Fabric is the #1 skill every Azure Data Engineer need in 2026. If you are serious about upskilling, you can still join the ongoing LIVE batch and learn from industry-focused, hands-on sessions. 💪🏼 Tag a friend who should enroll 👇 ♻️ Repost to help someone level up their Data Career!

Hi All

Free live session this Sunday — Databricks Medallion Pipeline from AWS S3 What we'll build, live: • Mount the S3 bucket and read the raw files • Bronze — land the data as-is in Delta tables • Silver — clean, dedupe and join with PySpark • Gold — curated business tables ready for reporting • Why the medallion layers exist, and how to answer that in an interview • Live Q&A at the end Who should come: anyone with some Python or SQL who wants a real Databricks project to point at. No prior Databricks work needed. 📅 Sunday, 23 August · 1:00 PM IST · 2 hours Host: Durgesh Yadav — Sr. Data Engineer @ 7-Eleven, ex-Target Reserve your seat 👇 https://www.prepnplaced.com/webinar/databricks-medallion

🚨 IMPORTANT UPDATE — PrepNPlaced Communities Are Getting a BIG REVAMP! We’re rebuilding the PrepNPlaced community experience to make it more useful, active, and valuable for your career journey. 🚀 As part of this revamp, all our old WhatsApp communities will be deleted soon. 👉 If you’re currently in an old community, please join the new communities below so you don’t miss future updates, learning opportunities, contests, webinars, and career guidance. 🔥 Join the New PrepNPlaced Communities 👨‍💻 1. PrepNPlaced DE Community For Interview Experiences, Data Engineering Learning & Valuable Content 👉 https://chat.whatsapp.com/IvOFp4UOt7XKQ7xTvDCAqS?s=cl&p=a&ilr=0 🎓 2. PrepNPlaced Webinars Community Get updates about our FREE Weekly Webinars, sessions & learning opportunities. 👉 https://chat.whatsapp.com/EUyjqPi7mZqFNTDrgSQ68q?s=cl&p=a&ilr=0 🏆 3. PrepNPlaced Contest & Prizes Community Participate in contests and get a chance to win: 🎁 FREE Courses 🎤 Mock Interviews 🚀 Career Guidance 🏅 And more! 👉 https://chat.whatsapp.com/EqAthW38UGYI7Wa3sc0zVh?s=cl&p=a&ilr=0 ⚠️ PLEASE NOTE: Our old communities will be permanently deleted as part of this revamp. So don’t wait until they’re gone. Join the new communities today and stay connected with PrepNPlaced. ❤️ Let’s build a stronger learning & career community together! 🚀 PrepNPlaced — Learn. Prepare. Get Placed.

PrepNPlaced - إحصائيات وتحليلات قناة تيليجرام @dataanalyticsbuddy