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. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story 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 Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more