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Google Cloud Professional Data Engineer Certification Test

Name: Google Cloud Professional Data Engineer Certification Test
Price: 19.99 USD
Availability: InStock

About this course

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

69/100

CourseAsk score

What the provider tells you: 45/45
Who stands behind it: 8/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

design data processing systems
build and maintain data structures and databases
analyze data to enable machine learning
optimize data representations and infrastructure performance
ensure the reliability of data processing infrastructure
visualize data
design secure data processing systems

Course objectives

select appropriate storage technologies
design data pipelines
consider data publishing and visualization methods
understand batch and streaming data processing
identify tradeoffs in schema design

Cloud Computing #python #google cloud #data visualization #data analysis #batch processing #data engineering #data pipelines #databases #bigquery #cloud dataflow #streaming data #ml

$19.99

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