Master pde with our Classroom and Online Google Cloud Professional Data Engineer Training at WebAsha Technologies. It builds the knowledge and skills validated by the Google Cloud Google Cloud Professional Data Engineer exam.
Training Overview:
validates the ability to design and build data-processing systems and operationalize machine-learning models on Google Cloud. It covers designing data-processing systems, ingesting and processing data (BigQuery, Dataflow, Dataproc, Pub/Sub), storing data, preparing and using data for analysis and ML, and maintaining and automating workloads - preparing you for the Professional Data Engineer exam.
Intended Audience:
This course is ideal for aspiring and practising data engineers, ETL developers and analytics engineers who build data-processing systems on Google Cloud.
Topics Covered:
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Data System Design: Design data-processing systems.
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Data Ingestion: Batch and streaming.
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Data Processing: Dataflow, Dataproc.
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Data Warehousing: BigQuery.
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Data Storage: Bigtable, Spanner, Cloud Storage.
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ML on Data: Vertex AI, BigQuery ML.
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Orchestration: Cloud Composer.
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Operations: Monitor and automate.
Requirements:
A stable internet connection and a laptop/desktop are recommended for online participants; the program includes expert-led sessions and practice tests.
Pre-Requisites:
Google Cloud recommends three or more years of industry experience, including data engineering on Google Cloud; SQL and Python help before PDE.
Career Benefits:
Data engineering is booming. In India, Google Cloud Data Engineer certified professionals typically earn ₹6 LPA to ₹38+ LPA.