Google Data Engineer Exam

Google Data Engineer Exam

It seems like every day more resources appear to help you study for the Google Data Engineer certification, so I thought in the interests of being helping you aspiring data engineers with some URLs I found helpful.

Life of a BigQuery streaming insert

When to use different types of storage in Google cloud

The Google Study Guide for the Data Engineer Exam

A quick guide on Apache Hadoop (several questions on this)

The content on this mobile gaming scenario was covered extensively.

This Spotify architecture is helpful because if similar to the scenarios you will deal with on the test

This example gives you an idea of what to use Big Table versus Big Query

Data Transfer Options for Google Cloud

Lots and Lots of Case Studies

Look for more helpful posts on studying for your Data Engineer Exam!

A Professional Data Engineer makes data usable and valuable for others by collecting, transforming, and publishing data. This individual evaluates and selects products and services to meet business and regulatory requirements. A Professional Data Engineer creates and manages robust data processing systems. This includes the ability to design, build, deploy, monitor, maintain, and secure data processing workloads.

Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.

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