Books Building MySQL 
Data Engineering Podcast
JULY 24, 2022
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. What are your goals with this book?
Knowledge Hut
APRIL 12, 2023
But there’s no such thing as ‘too much learning’ - especially when you have incredibly helpful web development books to read. But nothing beats keeping a stack of books by your side and catching up on them to study specific topics deeper. The book is written by one of the most renowned authors Jon Duckett.
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Meltano
OCTOBER 19, 2022
PostgreSQL and MySQL are among the most popular open-source relational database management systems (RDMS) worldwide. For all of their similarities, PostgreSQL and MySQL differ from one another in many ways. That’s because MySQL isn’t fully SQL-compliant, while PostgreSQL is.
Data Engineering Podcast
MAY 13, 2021
If you want to build a warehouse that gives you both control and flexibility then you might consider building on top of the venerable PostgreSQL project. In this episode Thomas Richter and Joshua Drake share their advice on how to build a production ready data warehouse with Postgres.
Christophe Blefari
JULY 26, 2024
He his currently writing his second book about data modeling. Building Pinterest Canvas, a text-to-image foundation model — Great article about creating a image generation model for product backgrounds. Multimodal RAG pipeline — A notebook explaining how you can index and build a RAG on deck slides.
Booking.com Engineering
OCTOBER 18, 2022
The process was obviously taking a long time to build a single property. Unlike Netflix’s Conductor setup that relies on DynamoDB, we used MySQL. We had to use the MySQL database instead of Dynomite, and Redis instead of DynoQueues. A simple process runs the new property registration workflow. Let us know in the comments below.
Data Engineering Podcast
DECEMBER 14, 2020
They share the journey that they went through to build a scalable and maintainable system for web scraping, how to make it reliable and resilient to errors, and the lessons that they learned in the process. This was a great conversation about real world experiences in building a successful data-oriented business.
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