Understanding of primary cloud computing ideas resembling digital machines and databases.
One 12 months or extra expertise working with information administration or information evaluation
The necessity for information engineers is consistently rising and authorized information engineers are among the high paid licensed professionals. Data engineers have a variety of abilities together with the power to design programs to ingest massive volumes of knowledge, retailer information cost-effectively, and effectively course of and analyze information with instruments starting from reporting and visualization to machine studying. Incomes a Google Cloud Professional Data Engineer certification demonstrates you could have the data and abilities to construct, tune, and monitor excessive efficiency information engineering programs.
This course is designed and developed by the writer of the official Google Cloud Professional Data Engineer examination information and a knowledge architect with over 20 years of expertise in databases, information structure, and machine studying. This course combines lectures with quizzes and hands-on sensible classes to make sure you perceive ingest information, create a knowledge processing pipelines in Cloud Dataflow, deploy relational databases, design extremely performant Bigtable, BigQuery, and Cloud Spanner databases, question Firestore databases, and create a Spark and Hadoop cluster utilizing Cloud Dataproc.
The ultimate portion of the course is devoted to probably the most difficult a part of the examination: machine studying. In case you are not acquainted with ideas like backpropagation, stochastic gradient descent, overfitting, underfitting, and have engineering then you aren’t able to take the examination. Happily, this course is designed for you. On this course we begin from the start with machine studying, introducing primary ideas, just like the distinction between supervised and unsupervised studying. We’ll construct on the fundamentals to know design, prepare, and consider machine studying fashions. Within the course of, we’ll clarify important ideas you will want to know to go the Professional Data Engineer examination. We’ll additionally evaluation Google Cloud machine studying companies and infrastructure, resembling BigQuery ML and tensor processing models.
The course contains a 50 query follow examination that may check your data of knowledge engineering ideas and enable you establish areas it’s possible you’ll want to review extra.
By the top of this course, you may be prepared to make use of Google Cloud Data Engineering companies to design, deploy and monitor information pipelines, deploy superior database programs, construct information evaluation platforms, and help manufacturing machine studying environments.
ARE YOU READY TO PASS THE EXAM? Be a part of me and I’ll present you ways!
Who this course is for:
- Cloud engineers and designers who wish to go the Professional Data Engineer examination
- Data engineers who wish to find out about Google’s superior instruments and companies for information engineering
- Data scientists and information engineers who wish to perceive machine studying ideas
- Cloud software builders who wish to use machine studying to construct purposes
- Devops engineers who have to help information engineering pipelines and machine studying fashions
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