Data engineering skills Core basics 1. SQL 2. Python 3. Basic DSA 4. Linux Commands Data Engineering Fundamental 1. Data warehousing concepts 2. Big data ecosystem (Hadoop-> 1). Map reduce 2). Distributed storage (HDFS) 3). Resource manager(YARN)) 3. Data processing frameworks-> spark 4. Streaming technology-> Kafka(pub/sub system - for handling real time data) 5. Data orchestration tool -> Airflow(scheduling and monitoring all the complex data flows) Advance Topics Cloud engineering CI/CD pipelines Make projects to implement all the knowledge
Thank you for great contributions to the community and make me realise to contribute something to the community. So I started recently contributing to the community with SQL interview preparation, problem and solution series. Soon I will contribute many things. Thank you for being a coach.
⭕Kindly make a same video on data analytics as I am planning to enroll in the data analytics for industry knowledge and experience to become a data engineer in the future ⭕
Hi Sahil, I hope this message finds you well. My name is Suresh, and I'm reaching out to gain insights into the Data Engineering market in Canada. I am particularly interested in understanding the job stability within this field and which cloud platform, Azure or AWS, would be more beneficial to focus on for long-term career prospects. Given that I am planning to invest significant time in learning these technologies, I want to ensure that I make an informed decision that will keep me relevant for at least the next five years as a Data Engineer. Additionally, any guidance or insights on the growth and opportunities in Data Engineering in Canada would be greatly appreciated. Thank you so much for your time and assistance. I look forward to hearing from you. Best regards, Suresh
Hi Sahil! Since you mentioned SQL is used daily in a DE role, could you share what the typical difficulty level is? Also, any tips on where to practice SQL for real-world tasks? Thanks so much!
Hi sahil,very informative video❤ but whatever you explain in your video one by one , like first learn this and then this, could you plzz bring videos from scratch to pro?? i know it gonna take months, but it will be fruitful 😊 thanks
Thanks bro !! Can you suggest some websites to get basic or top dummy projects (using python and sas) to practice and if we can show them on our resumes Or if you can suggest any websites where we all projects using all the technologies and if it is free
Thank you for detailed video it helped alot, please give your advice if i should get in to College to learn these skill or by doing online course and self learning I can make it happen
I said python and generally students know about these libraries. Sorry if it was something that i should have explicitly mentioned! Thanks for the comment
if i started learning for now than there are very less data engineering internships(if one has data internship it is easy to get a job ,and that person also get hand on experience ) ,,,,so should i do data analyst first only for internship and after that i will study for data engineering for job because it is also a good way , and i need to do an internship because it is in our college criteria , they do not support much if you do not have done internship?? nice video just subscribed
@@SnippetSensations do not care about that bro , it is not that much strict that they will not support you ,it means they will not care much about you , think of you as normal student , or is it just heard from my seniors and they are just saying this because we do not waste our time and study i do not know , but yeah internship is needed
Yes, that can be a good option. You will work alongside data engineers and dats scientists. You will get exposure to their work and after joining full time you can always switch roles if you have skills
Data engineering skills
Core basics
1. SQL
2. Python
3. Basic DSA
4. Linux Commands
Data Engineering Fundamental
1. Data warehousing concepts
2. Big data ecosystem
(Hadoop-> 1). Map reduce
2). Distributed storage (HDFS)
3). Resource manager(YARN))
3. Data processing frameworks-> spark
4. Streaming technology-> Kafka(pub/sub system - for handling real time data)
5. Data orchestration tool -> Airflow(scheduling and monitoring all the complex data flows)
Advance Topics
Cloud engineering
CI/CD pipelines
Make projects to implement all the knowledge
kitna years lagta ya sub learn kernay mai after cs grad.
Attendance of India 🇮🇳 ✅
best ever roadmap i never seen this before😍😄
Bruh gained a subscriber 🙌🏻
Best information. 😊
Thank you for great contributions to the community and make me realise to contribute something to the community. So I started recently contributing to the community with SQL interview preparation, problem and solution series. Soon I will contribute many things. Thank you for being a coach.
⭕Kindly make a same video on data analytics as I am planning to enroll in the data analytics for industry knowledge and experience to become a data engineer in the future ⭕
Hi Sahil,
I hope this message finds you well. My name is Suresh, and I'm reaching out to gain insights into the Data Engineering market in Canada. I am particularly interested in understanding the job stability within this field and which cloud platform, Azure or AWS, would be more beneficial to focus on for long-term career prospects.
Given that I am planning to invest significant time in learning these technologies, I want to ensure that I make an informed decision that will keep me relevant for at least the next five years as a Data Engineer. Additionally, any guidance or insights on the growth and opportunities in Data Engineering in Canada would be greatly appreciated.
Thank you so much for your time and assistance. I look forward to hearing from you.
Best regards,
Suresh
Hi Sahil! Since you mentioned SQL is used daily in a DE role, could you share what the typical difficulty level is? Also, any tips on where to practice SQL for real-world tasks? Thanks so much!
Amazing content 👏
Very good explained
Very Informative👍👍
Thanks so informative
great video bro . Keep going.
Thank you for the information. Can you suggest some UA-cam videos for python, data warehouse , spark….
Very informative 👍
Thanks for this lovely and awesome video and full of info and i promise to u one day i wll definitely to meet u ❤
Great video
Good road map. But very few data jobs now
Hello. Ap aik playlists ku ni banate jis m ap yeh sb kuch teach karo
Subscribed🎉
Make a video on ML Engineer Road Map sir
Hai sahil,
Can you suggest the resources to learn the the trchnologies
Hi bro
How about data engineer market in canada
Do you have any idea?
Can you please make a video in full stack java developer
Sir, where to practise all these
so he is experienced with software engineering(JAVA),so he got it through
Ya mujhe UA-cam channels recommend karain jis m learning ho saky
Hi sahil,very informative video❤ but whatever you explain in your video one by one , like first learn this and then this, could you plzz bring videos from scratch to pro?? i know it gonna take months, but it will be fruitful 😊 thanks
Sir if i start utilizing teradata framework where it would be fit in this roadmap?
From Nepal ❤❤
Thanks bro !! Can you suggest some websites to get basic or top dummy projects (using python and sas) to practice and if we can show them on our resumes
Or if you can suggest any websites where we all projects using all the technologies and if it is free
Tell your experience about software engineer jobs profiles in canada.
Thank you for detailed video it helped alot, please give your advice if i should get in to College to learn these skill or by doing online course and self learning I can make it happen
kitna years lagta ya sub learn kernay mai after cs grad.
Kindly share resources for python
bhai one road map for full stack and one for proper software engineer becuase i have taken software ddev. course pls brother
Bro you forgot databricks
What about devops sir
any Indian online boot camp available ??
very confusing and making difficult . bro try to make easy understanding
How to connect with you?
Kitna time lagega ye sab sikhne me....aur sql me kaun kaun se topic sikhna chahiye?
Bhai 4-5 mhene. Sql mei sab important hai, as such koi syllabus toh nahi hai bas queries likhni aani cahiye.
@@GognaSahil thanks
but there are barriers for freshers to get into this filed
Can you please tell me what kind of barriers?
@@Vikram.201 no openings for freshres
@@ishwarsinggirase-lc9lk yeah but I've seen openings for people with 2-3 years of experience.
50$ for 1-1 call bruh
So that means there's no need to know about the python libraries like pandas, numpy and a bit of matplotlib to be a top-tier data engineer??
I said python and generally students know about these libraries. Sorry if it was something that i should have explicitly mentioned! Thanks for the comment
@@GognaSahil Okay thanks for your response sir,
So i should know these libraries right sir?
I am First year student. Mera ek confusion hai. Data engineering/ Data Scientist/ Data Analyst Ye sab same hai kya? Nahi to plzz difference batao koi
Bhai video already hai channel pe. Check kro.
if i started learning for now than there are very less data engineering internships(if one has data internship it is easy to get a job ,and that person also get hand on experience ) ,,,,so should i do data analyst first only for internship and after that i will study for data engineering for job because it is also a good way , and i need to do an internship because it is in our college criteria , they do not support much if you do not have done internship??
nice video just subscribed
What college year are you in man??
@@SnippetSensations do not care about that bro , it is not that much strict that they will not support you ,it means they will not care much about you , think of you as normal student , or is it just heard from my seniors and they are just saying this because we do not waste our time and study i do not know , but yeah internship is needed
Yes, that can be a good option. You will work alongside data engineers and dats scientists. You will get exposure to their work and after joining full time you can always switch roles if you have skills
@@GognaSahil thanks bhaiya for solution
Bhaiya data ko rows and columns ko smjhte kaise h ki data flow kaisa h konsi rows and cloums important h transformation ke liye