Started Reading Data Engineering with AWS 🧑🏻🏫 AWS is one of the leading cloud providers with the highest market segment. AWS was the first cloud platform I learned about, and I have done over 20+ projects on it. I am very excited to read this book, content seems amazing - Basic AWS Data Engineering Concepts and Trends - Data Management Architectures for Analytics - AWS Data Engineer's Toolkit - Data Governance, Security, and Cataloging - Architecting Data Engineering Pipeline - Ingesting Batch and Streaming Data - Data Transformation for Analytics and many more It has good theoretical concepts and practical examples to understand Data Engineering on AWS. I will post more about this book and my learning in the future, thank you Packt and Gareth Eagar for this amazing book I recently published the complete AWS Data Engineering Roadmap on my YouTube channel too - youtu.be/X8Fin2zMKK4
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@parmardarshil07 Hellow @parmardarshil07 pls i'm in doubt about which certification shoul I take in AWS. Solutions Architect or wait for the Data Engineer certification which starts on March? I'm work as DE and I already have the cloud practioner and az900 certifications!
@parmardarshil07 This is great.
@parmardarshil07 Wow amazing what a detailed explanation definitely worth read for who want to become an aws data architect.
@parmardarshil07 How are you able to learn from books ? I mean do you practise along side ? How does this works ?
@parmardarshil07 Thank you @parmardarshil07 for your insights on this book packt.link/lCRcB
@parmardarshil07 What do you think of this one? Building ETL Pipelines with Python: Create and deploy enterprise-ready ETL pipelines by employing modern methods a.co/d/cmYAPF1