Build Data Pipeline Using Python Infrastructure As Code (IaC) | Data Engineering Project
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
Dataset used in the video - https://docs.aws.amazon.com/redshift/...
Redshift Whitepaper - https://docs.aws.amazon.com/whitepape...
Copy Command - https://docs.aws.amazon.com/redshift/...
I have also created playlists for the data engineering roadmap and projects
Data Engineering Complete Roadmap - • Data Engineer Complete Road Map 2022
Data Engineering Project Series - • Data Engineering Project Portfolio
Also, you can
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===================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 :)
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