Abhishek

🚀 Starting Tomorrow: 30 Days of Data Engineering I'll be sharing everything I learn about: 🐍 Python for Data Engineers 🗄️ SQL for Data Engineers What to expect every day: ✅ Topic-by-topic learning ✅ Easy-to-understand notes ✅ Interview questions I've personally faced during Data Engineering interviews ✅ Tips, tricks & practical examples If you're preparing for Data Engineering or planning to switch into this field, this series is for you. I'm new here, so your support, follows, reposts, and feedback would mean a lot. Let's learn and grow together! 🤝 #DataEngineering #Python #SQL #AI #BigData #DataEngineeringRoadmap #LearningInPublic #TechTwitter #InterviewPreparation #DataEngineer

⚡ Why Learn Apache Spark? Traditional tools struggle with massive datasets. Apache Spark enables fast, distributed data processing at scale. It's widely used for ETL pipelines, batch processing, data transformations, and big data analytics. If you want to become a Data Engineer, Spark is a must-have skillset. Resource 1 - Spark by Manish Kumar( This is one stop solution for Spark who knows Hindi) youtube.com/playlist?list=… Resource 2- Spark series by Ansh lamba 1. Apache spark youtu.be/FNJze2Ea780?si… 2.Pyspark youtu.be/94w6hPk7nkM?si… 3. pyspark Interview Questions youtu.be/fOCiis31Ng4?si… 4. Pyspark Real time scenarios youtu.be/Vch6iAnB1eY?si… 5.Another real time scenarios Questions youtu.be/-Gvnm9eS8v8?si…

📊 Why Learn Data Fundamentals First? Before building data pipelines, understand what data is, how it's stored, and how it flows. Learn about structured vs. unstructured data, databases, data warehouses, data lakes, file formats, and data modeling. Strong data fundamentals make learning Data Engineering much easier. 🚀 Resource For Big data Fundamentals By @AnshLambaJSR -youtu.be/H5SHmiKTFsM?si… Resource for Data engineering Fundamentals By @parmardarshil07 - youtu.be/ZRz-7E-7X7c?si… youtu.be/hf2go3E2m8g?si… Another Alternative Resources for Data engineering Fundamentals By ansh Lamba-

Everyone talks about becoming a Data Engineer. Very few show you how. Starting today, I'm building the most practical Data Engineering Roadmap using 100% free resources. No fluff. No paid courses. Just a clear path from beginner to job-ready. Follow along if you're serious about Data Engineering. #DataEngineering #Python #SQL #BigData #DataScience

@nikks_techie Great content brother.

Today AI/ML gyan: Distributed Training Distributed Training is the process of training a machine learning model using multiple computers or multiple GPUs at the same time instead of just one. This helps train large models much faster because the workload is shared across multiple machines. Example: House Price Prediction Suppose you’re building an AI model to predict house prices using 100 million house records. If you train the model on a single computer, it may take 12 hours to finish because one machine has to process all the data. Instead, you use 4 computers to train the model together. The dataset is divided into four parts, and each computer trains on its portion at the same time. After each computer finishes its work, they share their results and combine what they’ve learned into a single model. Now, instead of taking 12 hours, the training completes in about 3 hours. The final model is the same, but it was trained much faster because multiple machines worked together. This process of using several computers or GPUs to train one machine learning model is called Distributed Training. Real-World Analogy Imagine you have to move 1,000 boxes from one warehouse to another. If one person moves all the boxes, it could take an entire day. Instead, you ask 10 people to help. Each person carries 100 boxes at the same time, so the work finishes much faster. Distributed training works the same way. Instead of one computer doing all the work, multiple computers share the workload to complete training more quickly. One-Line Summary Distributed Training is the process of training a machine learning model across multiple computers or GPUs simultaneously to reduce training time and handle very large datasets or models.

@Itsbrutox True can't wait for this.

This is the most interesting AI launch of the summer. GPT-5.6 Sol is either going to raise the bar... or completely reset everyone's expectations. Thursday can't come soon enough.

@striver_79 Al's real impact isnot code generation. It's the shift toward validation, design, and higher-order engineering decisions and intent. The engineers who master that shift will define the next era.

What has AI changed when it comes to coding? - does known things at a faster pace - shortened timelines - got us free from ratification of a lot of useless things - downsized team size - made learning easier for junior engineers Not AGI, but good that as engineers we have a lot more time to spend on design, scale and other things..

@SalaarStanhk How much payout u get generally?? If ur engagement is like this

Red almost all over my analytics portfolio over the week But i think it is pretty good what do you think? 🤔 What should i focus on?? I hope this week will be better for all of us ❤️

@mishi_not 50

How many verified followers do you have ?

By tracking every android phone on the planet, they know which one is where, which one is moving, which one came to a halt. All your data is with them.

@ArunimaGanguly2 Wow congratulations 🎉

payout from x for july 1st week credited to my bank account. which supercar should i book now? 😃

@ArunimaGanguly2 But many don't focus on it. Btw Good Morning Arunima.

@LoyalDataEng yes yes. i did not think many will be able to identify it.

sell some stocks and bought ice cream tonight :) minted for just 0.05 SOL even the character on the tv wanted a scoop.

@AKirtesh It's amazing brother 👏 How much consistency and effort it take? In how much months this no reach? Could u tell so that we can also go there

X payout breakdown: $608.08 I spend about 4 hours/day on X Output (28 days): - 413K impressions - 35.2K engagements - 13.6K replies - 17.5K likes - 516 reposts - 267 bookmarks - 67 shares Per day - $21.72 earned - 14.75K impressions - 1.26K engagements - 250+ replies My tactic: create engaging posts, then reply to every single comment. 60% of my replies are to comments on my own posts.

@Srishhh9 Consistency matters only? Right? Eventually it will reach to audience?

@LoyalDataEng Thank you!! Boosted you follower by +1

@aman_pb06 How u have done?. How much time it has taken???

I'm now eligible to receive payout! 5M impressions, 500 verified followers I have done it all in a span of 7 months If I can you can do it too 🫵🫵

@aslambeg84 Congratulations bro

370 → 444 didn't expect this much support. can we hit 500 next? if you're in tech, say hello 👋

@KartikSharmaa_0 Connected

Day 1 of Premium ✅ Let's Connect, Let's Grow Together

@sama Can't wait sam. Let's see how it works

GPT-5.6 sol launches thursday! happy building

@ChintsUnfiltrd Nice Chintan

Yesterday I got the highest views so far 16K in a day and that is 3x into 2 days. Views = 16K Replies = 319 Followers = 87 When efforts and everything get aligned, then you start growing. Patience and consistency is the key if you want to grow naturally. 🙏

@dark_coderz Many are doing this still surviving. We should learn how to copy paste better.

met a dude, he still copy-pasting the code from chatgpt

@NovaXCode True that

Gemini has two personalities