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 example gives you an idea of what to use Big Table versus Big Query
Data Transfer Options for Google Cloud
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.
A Salesforce Jumpstart is a program designed to help businesses quickly and efficiently implement Salesforce, which is a powerful customer Read more
According to the Salesforce 2017 State of Service report, 85% of executives with service oversight identify customer service as a Read more
Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust Read more
What is a CRM Cloud Salesforce? Salesforce Service Cloud is a customer relationship management (CRM) platform for Salesforce clients to Read more
