Online Training GCP : Certified Professional Data Engineer Practice Exam by Udemy

Get yourself trained on GCP : Certified with this Online Training GCP : Certified Professional Data Engineer Practice Exam.

Online Training GCP : Certified Professional Data Engineer Practice Exam

A Data Engineer is someone who has a good knowledge and/or experience in building data solutions including DW and ETL Design , SQL and BI Solutions , Big Data/Data Pipelines and Classical/Statistical Machine Learning and implementing best practices while designing a data solution .Google Professional Data Engineer Certification tests a candidate on each of the above aspects . It focuses less on the automation ( say platform engineering ) and more on building anddesigning the architecture for a data solution .Based on what I recollect , below were the topics covered and their proportions :Hadoop Ecosystem ( Not GCP Big Data Services ) : 5 %GCP Big Data Services ( DataFlow , DataProc , BigQuery , BigTable , DataStore , PubSub , DataPrep ) : 40%ML Concepts : 20 %GCP ML Services : 5%Identity and Security : 10%GCP Relational Data Services ( Cloud SQL and Cloud Spanner ) : 5%GCP BI ( Data Studio and Excel ) : 5%Compute and Storage and Data Transfer : 10%

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Investing in yourself through Learning

As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.

And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.

Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.