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.
In Marc Benioff's own words How did salesforce.com grow from a start up in a rented apartment into the world's Read more
Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more
Following swiftly after last week's successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more
As with any technology, the cloud brings its own alphabet soup of terms. This insight will hopefully help you navigate Read more
