What I learned while studying for the GCP PDE exam
GCP PDE Badge I recently (June 22nd, 2024) appeared for and passed the GCP Professional Data Engineer certification. [1] In this blog, I'd like to share what I've learned in studying for and taking the exam. First off, here are the main GCP offerings that are tested on the exam: BigQuery: This is a data warehouse that can hold structured data. It is SQL compliant and you can perform data analysis with this tool. Despite seeming like a regular relational database, it is actually a columnar database. This database can go up-to petabyte scale! BigTable: Despite have 'Table' in the name, it's a NoSQL database. It is a non-relational database used for things like receiving large amounts of IoT/factory sensors' data, user's application data, etc. Got to learn about BigTable schema design (& especially row-key optimization) Cloud Storage: This service was covered even in the Cloud Associate Engineer exam but it's just a blob (Binary Large OBject) storge l...