Google BigQuery is a data warehouse in the cloud. It provides a wide range of features that make it a popular choice for enterprise data warehouse needs. Its support of standard Structured Query Language (SQL) is germane to this lab challenge.
In this lab challenge, you need to use BigQuery to answer questions by leveraging data and the Structured Query Language (SQL). You will be querying publicly available datasets in BigQuery.
This is a real environment, which means you can prove your knowledge in an applied way, substituting multiple choice questions for a dynamic performance-based exam situation.
- Proficiency with SQL queries
- Familiarity with Python
- Data scientists
- Data engineers
- Data analysis using SQL
Logan has been involved in software development and research since 2007 and has been in the cloud since 2012. He is an AWS Certified DevOps Engineer - Professional, AWS Certified Solutions Architect - Professional, Microsoft Certified Azure Solutions Architect Expert, MCSE: Cloud Platform and Infrastructure, Google Cloud Certified Associate Cloud Engineer, Certified Kubernetes Security Specialist (CKS), Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), and Certified OpenStack Administrator (COA). He earned his Ph.D. studying design automation and enjoys all things tech.