GCP Data Engineer Pro: Creating a Pipeline of Services

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. Just as landmarks guide you on a journey, the services covered in this course will serve as pivotal markers, steering you through the construction and optimization of robust data pipelines in the expansive landscape of Google Cloud. In this course, you’ll uncover the essentials of data pipelines for analysis, learn about Google Cloud’s data storage services, and automate data ingestion with Cloud Datastream and Pub/Sub. You’ll delve into Hadoop and Hadoop Distributed File System (HDFS), compare Apache Kafka with Google services, and explore use cases for Cloud Data Fusion, Dataproc, Dataflow, and Beam. You’ll also analyze BigQuery’s role in data analysis and contrast it with MapReduce and Apache Spark, culminating in integrating Google Vertex AI for enhanced data analytics. This course is one of a collection that prepares learners for the Google Professional Data Engineer exam.