Amazon Web Services is the first major player to actually become a cloud provider. THis step enabled development to become so much easier and let developer and start ups (And mature companies) to focus on the development and products instead of the infra.
Azure is microsofts cloud service. It is like AWS, but only more microsofty. I have worked extensievley with Azure and find it to be a bit cumbersome, with rough edges. Understanding the CLI was key for my development, made things so much easier. I think this experience is something that is shared across cloud providers.
This is a book about data engineering, with a sprinkle of dbt as well. What it is not is a book on dbt, it most definitely is a book on data engineering. It contains data engineering knowledge and ways of working.
I have mostly worked with GCP on my own. It is the little brother of the
This book is a no-nonsense book about practical MLOps and how you should approach it to solve business problems. The book takes an even more hardline approach to automation and focuses on the concept of Kaizen ML, where continuous improvement and striving to make the feedback loop even shorter and the process more and more seamless.
Snowflake is a company providing a data warehouse.