Google Cloud Professional Data Engineer Certification Test

SkillPractical Google Cloud Professional Data Engineer Certification Test is for data scientists, solution architects, DevOps engineers, and anyone wanting to move into machine learning and data engineering in the context of Google. Students will need to have some familiarity with the basics of GCP, such as storage, compute, and security; some basic coding skills (like Python); and a good understanding of databases. You do not need to have a background in data engineering or machine learning, but some experience with GCP is essential.This is an advanced certification and we strongly recommend that students take the SkillPractical Google Certified Associate Cloud Engineer exam before.FYI, 87% of Google Cloud certified users feel more confident in their cloud skills.Course Learning ObjectivesDesign a data processing systemBuild and maintain data structures and databasesAnalyze data and enable machine learningOptimize data representations, data infrastructure performance, and costEnsure reliability of data processing infrastructureVisualize dataDesign secure data processing systemsCourse syllabus description:1. Designing data processing systems1.1 Selecting the appropriate storage technologies. Considerations include:Mapping storage systems to business requirementsData modelingTradeoffs involving latency, throughput, transactionsDistributed systemsSchema design1.2 Designing data pipelines. Considerations include:Data publishing and visualization (e.g., BigQuery)Batch and streaming data (e.g., Cloud Dataflow, Cloud Dataproc, Apache Beam, Apache Spark and Hadoop ecosystem, Cloud Pub/Sub, Apache Kafka)Online (interactive) vs. batch