Who Should Attend this Data Engineering with Google Cloud Platform?
This Google Cloud Certification is a valuable resource for individuals seeking to enhance their data management and processing skills using Google Cloud Platform Services (GCP). The Data Engineering with Google Cloud Platform Course can benefit professionals such as:
- Cloud Engineers
- Data Engineers
- BI Developers
- ETL Developers
- Data Managers
- Data Architects
- Big Data Engineers
Prerequisites for the Data Engineering with Google Cloud Platform
There are no formal prerequisites for this training course. However, prior experience with SQL, data modeling, ETL processes, Python, and familiarity with machine learning or statistics, along with completion of the Google Cloud Fundamentals course, would be beneficial.
Data Engineering with Google Cloud Platform Overview
Data Engineering with Google Cloud Platform focuses on designing and managing scalable data pipelines using Google Cloud services, covering data ingestion, transformation, automation, and governance to support reliable, data-driven decision-making.
Upskilling in this area strengthens your ability to handle large datasets efficiently, implement automated workflows, and maintain strong data governance practices. These skills are essential for organisations aiming to improve data quality, security, and operational efficiency.
This 2-Day course offered by The Knowledge Academy equips delegates with practical knowledge of Google Cloud tools used in modern data engineering.
Data Engineering with Google Cloud Platform Course Objectives
- To understand the core concepts of Data Engineering on Google Cloud Platform
- To learn to design and build data processing systems on the Google Cloud Platform
- To gain proficiency in creating autoscaling data pipelines for both batch and streaming data using Cloud Dataflow
- To explore the integration of Dataproc with the Google Cloud Platform for efficient data processing
- To acquire the technical knowledge needed to work with unstructured data using Google's Machine Learning APIs
- To develop the skills to design comprehensive data processing systems, construct end-to-end data pipelines, and analyse data and Machine Learning models
Upon completing the Data Engineering with Google Cloud Platform, delegates will be equipped to design and implement data processing solutions on Google Cloud. They will also gain the ability to work with diverse datasets and apply machine learning techniques to support data-driven decision-making.