DevOps Engineer vs Data Engineer - Which career is RIGHT for YOU? | 13 Key Differences Explained
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- čas přidán 10. 04. 2024
- DevOps Engineer vs Data Engineer - Which career path is RIGHT for YOU?
#devops #dataengineering #careerpath #careerguidance
Are you confused between becoming a DevOps Engineer or a Data Engineer? 🤔 In this video, we'll dive deep into the differences between these two exciting tech careers, helping you figure out which path is the perfect fit for you!
🔍 Discover 13 key differences that set DevOps Engineers and Data Engineers apart, from their roles and responsibilities to the tools and skills they use daily.
Whether you're passionate about streamlining development processes and managing infrastructure (DevOps) or working with data pipelines, analytics, and databases (Data Engineering), this comparison will provide valuable insights to guide your career decision.
Make an informed choice for your tech career journey. Don't forget to like, share, and subscribe for more career insights and tech discussions!
#DevOpsEngineer #DataEngineer #TechCareers #CareerComparison #CareerAdvice
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In short If you know Python and Sql you will opt for Data Engineer , For Devops You need to know about Cloud, Linux, GIT, Jenkins, Docker , KUberneteres, Artifacotry, Code Scanner like sonarqube and monitoring tool. Devops is tough as compare to Data engineer. I worked in both side data engineer little easy as compare to Devops. Devops is really a strugle
I quite agree with you. I have spend almost 2 years learning DevOps. It is so tough
Haha that's real😂 I have been working as Devops field n exhausted
@@ejiakanwaeze2738 can you why devops is exhausting? Is it dificult or easy then coding?
Why devops is tough?
@@kshitiz4416 To understand Devops you have to Understand Cloud (Most of the organisation working on cloud these days on prem is 10 to 20%) first. To Understand Cloud pre requite networking. Then come to OS linux is must , Then containerisation , Kubernetes that very topic and some what you to know about little about Java , Python and node js as well. Then Openshift and monotoring tools are in vouge these days. Day by days new sevices is added into cloud and devops as well so always you have to ready to learn and brain storing on these things.
Hello Anshul, I am your long-time subscriber and first of all I would like to say that it was a great presentation. However, I think, you should have added a fourteenth point also. You touched it partially but it is very important nowadays in the world of AI and automation, and that is ' Job Security'. Devops tools automation eats the job of the devops engineer itself. I have seen many tools that were popular and very useful at one time soon became obsolete. I am old now and cannot constantly update myself and want some job security. Secondly, whenever, I join a new job, I have to compete with younger kids. Naturally, they are more energetic and up-to-date. Recruiters in their JD mention a lot of experience, but in that period, everyone knows how much cloud and tools have changed. Every day there is a new dashboard. So the experience really does not matter as the tools are constantly changing.
Hence I am now trying to move to the Data Engineer/ Scientist field. I have touched Python, Statistics, PowerBI, DBs and Panda, Matplot, etc libraries. However, I am still not confident in how to transition and how to modify the resume, etc. and I could use some help.
Although a lot of information is available online, in one of your videos - you mentioned the importance of mentorship. I don't have a job right now. Also as you pointed out, when you get old, you need some visibility and interaction with upper management and clients. I would like to come out of the backend and be a more people person. Would you be able to mentor me in your spare time, to point me in the right direction and help me choose the right path? rajeshg.chopra@yahoo.com
Hi Rajesh you have always been a great supporter of my efforts throughout these years on this channel🙏. The point you raised so valid, thanks for bringing this up. Please ping me on LinkedIn and we shall talk on Phone, I will share whatever insights and guidance I can.
Very informative. Thanks a million for sharing it Anshul. Keep rocking !!!
Thanks Vishnu ☺️
@@ITkFunde welcome Anshul
Sir plz digital board ka use kijiye plz🙏🙏
Please put a video as SRE vs Data Scientist.
great explanation thank you so much @IT k Funde
any video on devops and MLops vs dataops
Thankyou 😊
data analytics course please
What is the future scope of GCP data engineering?
It has a bright future, GCP is viewed as a one of the leader when it comes to Data Analytics and Processing
I have been working as Devops engineer and work is hell everyday incidents, pipeline collaboration is like totally shit.
Thanks for sharing your honest views
How much work experience do you have.. as I also experienced same
Bhai Can we connect??
I have been working from past two years
Can anyone go for data engineering aftwr learning and working in devops engineering?
Why Not?? U can utilize ur skills in python for example in data engg
In the recent trends, as mentioned in Data As a Product, the work of data engineers will be reduced. In my opinion devops engineers will have more impact then data engineers due to companies are establishing Entreprises Data Platform.
Thats could be possible 👍
21:30
But you cant say devops is tough...learners will getuch negative impact ...it can let think one not to go for it .. yes it might be tough but not a rocket science
Not at all I tried highlighting DevOps pros n cons... But as i said at the beginning its a great career path