- 202
- 48 143
RauSimple
Приєднався 9 кві 2020
For collaboration please mail on - imamzafar100@gmail.com
Welcome to our Data related channel! Here, we dive deep into the fascinating world of data science, engineering, analytics and AI providing comprehensive explanations of key interview questions to help you ace your next interview. We also explore the latest advancements in AI and machine learning through engaging podcasts, bringing insights from industry experts straight to you. Whether you're a beginner or a seasoned professional, our channel offers valuable content to enhance your skills and keep you updated with the latest trends in the field. Join us on this exciting journey of learning, discovery, and professional growth! #datascience #artificialintelligence #machinelearning #deeplearningai #raufulazam #zafarimam
Welcome to our Data related channel! Here, we dive deep into the fascinating world of data science, engineering, analytics and AI providing comprehensive explanations of key interview questions to help you ace your next interview. We also explore the latest advancements in AI and machine learning through engaging podcasts, bringing insights from industry experts straight to you. Whether you're a beginner or a seasoned professional, our channel offers valuable content to enhance your skills and keep you updated with the latest trends in the field. Join us on this exciting journey of learning, discovery, and professional growth! #datascience #artificialintelligence #machinelearning #deeplearningai #raufulazam #zafarimam
Python Practices in Data Engineering: Interview Highlights
Dive deep into the world of data engineering with Python! This comprehensive guide covers essential topics like handling large datasets efficiently, automating ETL pipelines, optimizing code performance, and ensuring data quality. Learn how to integrate Python with cloud platforms like AWS and Azure for scalable workflows, process real-time data streams using Apache Kafka and PySpark, and create compelling data visualizations for stakeholders. Discover best practices for writing efficient and maintainable Python code, debugging ETL pipelines, and managing data integration with tools like Snowflake Connector and SQLAlchemy. Perfect for aspiring and experienced data engineers, this interview-focused guide equips you with the knowledge and strategies to excel in Python-centric data engineering roles.
#DataEngineering #PythonProgramming #ETLPipelines #BigData #CloudComputing #AWS #Azure #DataQuality #RealTimeData #PySpark #Snowflake #SQLAlchemy #DataVisualization #PythonTips #TechInterview #CodingBestPractices #DataScience #Automation #DataProcessing
#DataEngineering #PythonProgramming #ETLPipelines #BigData #CloudComputing #AWS #Azure #DataQuality #RealTimeData #PySpark #Snowflake #SQLAlchemy #DataVisualization #PythonTips #TechInterview #CodingBestPractices #DataScience #Automation #DataProcessing
Переглядів: 458
Відео
GPT-5 Explained: The Future of AI Is Here!
Переглядів 45521 годину тому
🎙️ Welcome to The AI Exchange! 🌐 In this episode, Zafar and Rauful take you on an exciting deep dive into the revolutionary world of GPT-5, the next big leap in artificial intelligence. Whether you’re an AI enthusiast, a business owner, or just curious about the future, this discussion has something for everyone! 🚀 📋 Here’s what we cover in today’s episode: 1️⃣ Real-Life Applications How GPT-5 ...
Data Skew Explained: Easy Fixes for PySpark and Databricks Jobs
Переглядів 49День тому
Struggling with slow Spark jobs caused by data skew? You're not alone! In this video, we'll break down what data skew is, why it happens, and how it impacts your Spark job performance. Using simple examples and practical tips, I’ll show you how to fix data skew in PySpark and Databricks. Learn about techniques like salting keys, repartitioning, and choosing better keys to optimize your jobs. Wh...
ChatGPT vs. Google: Is ChatGPT's New Search Feature a Game Changer?
Переглядів 13814 днів тому
In this video, I dive into ChatGPT's brand-new search extension and explore how it might change the way we look up information online. Imagine a tool that not only searches the web but also allows you to chat with results in real time, pulling in all the relevant sources! Google might have some serious competition with this one. I'll show you how this feature works, what makes it so powerful, a...
What Does a Data Scientist Actually Do? Uncovering the Role Behind Data-Driven Decisions
Переглядів 3621 день тому
Which job role conducts experiments and uses machine learning to build and train models that deliver actionable insights? In this video, we explore the fascinating career of a Data Scientist, the people behind some of the biggest strategic decisions in today’s businesses. We’ll cover their core tasks-from data collection to model-building and insight communication-and explain why Data Scientist...
Nemotron 70B by NVIDIA: The New AI Powerhouse Taking on GPT-4o
Переглядів 13528 днів тому
Nemotron 70B by NVIDIA: The New AI Powerhouse Taking on GPT-4o
PySpark Sales Analysis: Predicting Sales Trends with Moving Average
Переглядів 109Місяць тому
PySpark Sales Analysis: Predicting Sales Trends with Moving Average
Master Sentiment Analysis with BERT + Real Interview Questions! #sentimentanalysis
Переглядів 60Місяць тому
Master Sentiment Analysis with BERT Real Interview Questions! #sentimentanalysis
Predict Customer Churn Using PySpark | Data Engineering Tutorial
Переглядів 106Місяць тому
Predict Customer Churn Using PySpark | Data Engineering Tutorial
Mastering Cloud Data Pipelines: Snowflake, Airflow & AWS in a Data Engineer Interview
Переглядів 54Місяць тому
Mastering Cloud Data Pipelines: Snowflake, Airflow & AWS in a Data Engineer Interview
ChatGPT 4o Canvas Just Launched! 🚀✨ | A GAME CHANGER
Переглядів 273Місяць тому
ChatGPT 4o Canvas Just Launched! 🚀✨ | A GAME CHANGER
2024 AI Interview: Exploring Breakthroughs in Technology and Ethical AI
Переглядів 45Місяць тому
2024 AI Interview: Exploring Breakthroughs in Technology and Ethical AI
AWS Certifications: Congrats, You Can Now Set Up S3 Buckets - Call Yourself a Cloud Architect!
Переглядів 722 місяці тому
AWS Certifications: Congrats, You Can Now Set Up S3 Buckets - Call Yourself a Cloud Architect!
Azure Interview: Data Lake Storage Gen2, Synapse, and ADF Explained
Переглядів 1432 місяці тому
Azure Interview: Data Lake Storage Gen2, Synapse, and ADF Explained
Why You Should Ignore Bad Data Engineering Advice - The Truth Exposed
Переглядів 8972 місяці тому
Why You Should Ignore Bad Data Engineering Advice - The Truth Exposed
Technical Interview: Sentiment Analysis, Demand Forecasting & More | Data Science & Machine Learning
Переглядів 702 місяці тому
Technical Interview: Sentiment Analysis, Demand Forecasting & More | Data Science & Machine Learning
Data Engineer Interview: Airflow, Snowflake, AWS, Apache Kafka, and Azure Data Factory Insights
Переглядів 2612 місяці тому
Data Engineer Interview: Airflow, Snowflake, AWS, Apache Kafka, and Azure Data Factory Insights
How to Tackle Complex Data Analysis Using Pandas - Real-Life Examples
Переглядів 772 місяці тому
How to Tackle Complex Data Analysis Using Pandas - Real-Life Examples
Step-by-Step Guide to Building an ETL Pipeline with Snowflake, Airflow, and AWS
Переглядів 612 місяці тому
Step-by-Step Guide to Building an ETL Pipeline with Snowflake, Airflow, and AWS
Python Pandas ETL Tutorial: Cleaning, Transforming, and Aggregating CSV Data
Переглядів 872 місяці тому
Python Pandas ETL Tutorial: Cleaning, Transforming, and Aggregating CSV Data
Learn Data Partitioning in 3 Minutes: Essential Guide 🚀
Переглядів 372 місяці тому
Learn Data Partitioning in 3 Minutes: Essential Guide 🚀
Pandas PROS Use Chunking to Process Large DataFrames FAST!
Переглядів 642 місяці тому
Pandas PROS Use Chunking to Process Large DataFrames FAST!
Podcast on Data Science with Rauful #datascience
Переглядів 865 місяців тому
Podcast on Data Science with Rauful #datascience
Master PySpark Window Functions for Your Next Interview | PySpark Interview Prep
Переглядів 435 місяців тому
Master PySpark Window Functions for Your Next Interview | PySpark Interview Prep
PySpark Interview Problem - Medium Difficulty
Переглядів 276 місяців тому
PySpark Interview Problem - Medium Difficulty
PySpark Map Function: A Comprehensive Tutorial
Переглядів 796 місяців тому
PySpark Map Function: A Comprehensive Tutorial
Master PySpark: Analyzing Sales Data to Find Top Revenue Generating Product | PySpark Tutorial
Переглядів 486 місяців тому
Master PySpark: Analyzing Sales Data to Find Top Revenue Generating Product | PySpark Tutorial
Detailed Explanation of Andrew Ng Week 6 assignment #week6 #andrewng
Переглядів 1133 роки тому
Detailed Explanation of Andrew Ng Week 6 assignment #week6 #andrewng
Detailed Explanation of Andrew Ng Week 5 assignment #week5 #andrewng #Backpropagation
Переглядів 2893 роки тому
Detailed Explanation of Andrew Ng Week 5 assignment #week5 #andrewng #Backpropagation
Detailed Explanation of Andrew Ng Week 4 assignment #week4 #andrewng #onevsall
Переглядів 2953 роки тому
Detailed Explanation of Andrew Ng Week 4 assignment #week4 #andrewng #onevsall
Nice
It's very helpful
Glad to hear that
What’s the experience in years this question is asked for?
3+ years of experience, but it's always better to learn early to have some advantages in the competitive market
Lines of code really doesn't matter in real time. Completion of probelm that involves O(n^2) Time complexity and O(n) Space complexity is worse. Rather adding few extra lines of code for a O(n) Time complexity and O(1) Space complexity is best.
It was not just about lines of code, please watch the full video
Needs more bobs and vagene
Thanks for the comment we appreciate it, even though it's a negative comment it will help us grow
@rausimple you're not going to grow, not on this platform. But, it doesn't mean you won't be successful, good luck with the bobs and vagenes.
Let's see that in some time, we are already growing, but yeah you can have a different opinion I appreciate it
Google 😂
Haha that's funny
He is clearly reading the answer
Let's say that's true, so what?
I wanna join, I have sent the email as well
Thanks we will revert back soon
Make sure you mail us at imamzafar100@gmail.com
I have sent the email please check 😊
Thanks, we will revert back
Make sure you mail us on imamzafar100@gmail.com
You can email us on -- imamzafar100@gmail.com
This is good, but every company is making the same thing. It feels like copilot in web, claude already mastered some of this...I hope they release something different.
You’re right, a lot of companies are moving in the same direction.
Hey thanks for letting us know.
Thanks for the appreciation, there are more features in it, if I see that people are interested in it. I will make another detailed video as well. 😊 -Zafar
Thanks for the breakdown! Could you help me with something unrelated: My OKX wallet holds some USDT, and I have the seed phrase. (behave today finger ski upon boy assault summer exhaust beauty stereo over). How should I go about transferring them to Binance?
I don't believe you. Don't try to scam me
What do you mean?
Looks Like You're Drunk
And yet, I’m still making more sense than your comment
@@rausimple Well then try listening to yourself once then
@@spy668listening to myself is always a good idea. You should try it sometime, might help you make some sense
Great video
Thank you!
Hello bro loved your content . i am new to data engineering and am struggling with how to start or what project to make to get to know data engineering better
Hey man, glad you liked the content! Honestly, I totally get it-starting in data engineering can feel a bit overwhelming at first. What really helped me was just diving into projects. You could try building a simple data pipeline-maybe something like pulling weather data from an API, processing it, and then dumping it into a database like Snowflake or Redshift. Another idea is creating an ETL pipeline where you clean and transform some messy data, then load it into a warehouse. And if you're up for a challenge, experiment with real-time data processing using Kafka or Spark-it’s a game-changer once you get the hang of it. Take it one step at a time and focus on one tool or concept before moving on to the next. You got this! Feel free to hit me up if you need any pointers along the way. 👊
can you provide a detailed end to end data engineering project using airflow, snowflake
Noted 👍
Just two robots communicating😂
😂😂
Masha Allah Smart personality
Please share your questions or comments 😊
Please share your comments 😊
Please share your comments 😊
Good job 🎉
Valuable best for interview prep!
Really helpful, helps for interview prep! Watched 20 times!!
Glad it was helpful!
Good work
Thanks
Masha Allah
Please share your comments 😊
Please share your comments 😊
Please share your comments 😊
Please share your comments 😊
HR sir Er Rauful Azam
Please share your comments 😊
Please share your comments 😊
Please share your comments 😊
Please share your comments 😊
What language are you speaking. It is not English
Can you be more explicit about the issue we will try to avoid it next time 😊
Great content
Please share comments 😊
Can you say the app name?
It's chatgpt
Nice
Please share your comments
Can you provide code? Just send me real video❤
instagram.com/midnighthowlinghuskydog?igsh=MWxtOWU2enV0dHdsNg== Just take out her insta userid from the link ☺️
@@rausimple thanks brother 💖
Good ❤
Hey what you liked about the video 😃😃🤩
Please share your thoughts 💭🤔
😂😂😂
Share your thoughts 💭🤔
Awesome content!
Thanks for sharing 😊