Master the concepts and functionality associated with Google Cloud and Google BigQuery for data engineering activities.
BigQuery, a data warehouse product from Google, allows its users to store and search through terabytes or even petabytes of data without having to set up or maintain any infrastructure. Timotius Pamungkas, a software architect and Java software engineer, developed the Data Engineering with Google BigQuery & Google Cloud certification course, which is made available by Udemy to students who are interested in learning data engineering skills and knowledge to become qualified software engineers, data analysts, and data engineers.
Data Engineering with Google BigQuery & Google Cloud online training is a self-paced program that involves more than 6.5 hours of video-based lectures supported by 2 articles that aim to help the students gain the knowledge to understand how the Google cloud platform could integrate into the larger data and application architecture. With Data Engineering with Google BigQuery & Google Cloud online course, students will also be taught about topics like data sheets, data cleaning, data loading, data visualization, data preparation, data studio, file databases, and more.
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Udemy
After completing the Data Engineering with Google BigQuery & Google Cloud online certification, students will gather a comprehensive understanding of the functionalities of the Google Cloud Platform (GPC) and Google Bigquery for data engineering operations. In this data engineering course, students will explore the functionalities associated with data studio, data sheets, data flow, file databases, APIs, message broker, and Bigquery view for data engineering and data warehousing activities. In this data engineering certification, students will learn about strategies for data preparation, data cleaning, data loading, and data visualization.
Mr Timotius Pamungkas Java Software Engineer, Architect Freelancer
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