DevOps? DataOps? Infrastructure As Code (IaC) | Data Engineering Project

preview_player
Показать описание
Data engineering is the foundation upon which the entire data software ecosystem is built.
It is the process by which raw data is collected, stored, assessed, analyzed, and acted upon. It is the lifeblood of the data software development process.
Data engineers are in charge of designing data storage systems, data analytics pipelines, and data processing applications. They are the ones who manage the data infrastructure in an organization.

A data engineer must be proficient in multiple programming languages. They should also understand data modeling, big data processing, data warehousing, and data analytics.

Infrastructure As Code is an important skill to know as a Data Engineer too, In this video, you will understand why

I have also created playlists for the data engineering roadmap and projects

Also, you can

===================Follow Me Here===================

===================About Me===================
Freelance Data Engineer and Solution Architect.
I love learning about technology and teaching thing I know to other people. The goal of creating this channel was to teach everything I know to the world, I have spent most of my time learning things online and I want to share all my learning on this youtube channel.
I will be posting content related to data engineering, architecting systems, data science, machine learning, and interview preparation.

Thank you for watching the video, see you in the next video :)

My Accessories

#devops #dataengineering #aws
Рекомендации по теме
Комментарии
Автор

amazing videos in the playlist; thank you so much!

sundarraghavan
Автор

From your channel i have learnt many things, that has help me in growing new skills. Keep going Bro🤩👍👍👍👍👍👍👍👍

vivekviradia
Автор

Can you create a project with all the aws tools which are only needed for data engineering only eg:s3, redshift, athena, ec2 etc

sauravbhattacharjee
Автор

Good video for understanding Real world project.
Have you thought of creating end to end project of data pipeline? Using AWS, Spark, Cassandra/mongoDb and finally some kind of dashboard. Similar to what you'd have done till now?

parthshinde
Автор

Use Terraform that is better and easier than cloud formation in my opinion

pavankumar-nrmv
Автор

Really video's are awesome and content is good. But I would like to complete the course in 1 month . Can you suggest any AWS(data engineer course) in Udemy so that I can complete fast.

chakrigovindarajulubingi