Course Introduction
1. Course Introduction
Hello, and welcome to Introduction to Data Engineering on Google Cloud. I'm Damon, and I am a curriculum developer at Google. Whether you already work in data engineering and want to learn how to be successful on Google Cloud, or you are looking to progress in your career, this course will help you get started. Through a series of lectures, quizzes, and hands-on labs, you will learn the fundamentals of data engineering on Google Cloud. This course was designed for data engineers or anyone interested in preparing and sorting datasets for further usage in their organization. This involves using tools such as, but not limited to, Dataflow, Dataproc, Cloud Composer, BigQuery, Bigtable, and Datastream. In this course, you learn about the duties and responsibilities of a data engineer, identify data engineering tasks and core components used on Google Cloud to accomplish those tasks, understand how to create and deploy data pipelines of varying patterns on Google Cloud, and identify and utilize various automation techniques on Google Cloud to complete data engineering tasks. The course is divided into six modules designed to address the learning objectives. First, you look at data engineering tasks and components on Google Cloud. Next, you explore data replication and migration. Then you explore each of the three main data pipeline patterns; extract and load, extract, load, and transform, and extract, transform, and load. You conclude the course by examining automation techniques important to a data engineer.2. Let's practice!
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