In week 3 we learned data warehouse and google Big Query. Some best practices like creating external table, partition and clustering tables are introduced. We can even do machine learning in Big Query.
In week 2 we learned Prefect to manage our data flow. I like Prefect very much because it allows to use python to define tasks and flows. Very interesting topic to learn!
During week 1, participants learned how to build a data pipeline and retrieve and ingest data using Docker, Postgres, Docker-compose, Terraform and Google Cloud.
The Google APIs are effective tools for managing large or complex Google Analytics accounts. They allow developers to programmatically extract historical GA data or list all GA properties with custom dimensions, saving a tremendous amount of time.
Do you ever think of getting AWS Cloud certificates? This is one of my 2023 resolutions. Let’s learn together. Day 1 is all about the best practices of AWS IAM.