Google Cloud Digital Leader: Data Processing Pipelines

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. Optimizing data processing and analytics is crucial for organizations to effectively manage and derive insights from their data. Leveraging Google Cloud's suite of tools enables businesses to build robust, scalable data pipelines and facilitate real-time analytics and workflow automation. In this course, you will explore batch and stream analytics, focusing on their distinct advantages and use cases. You will examine the processes involved in extract, transform, load (ETL) and extract, load, transform (ELT) pipelines. Next, you will investigate the characteristics of Dataproc, which simplifies big data processing on the cloud, as well as various Google Cloud services for ETL, such as Dataflow, which offers real-time stream and batch data processing capabilities. Finally, you will discover real-time messaging with Pub/Sub, Google’s service for ingesting event data from multiple sources, supporting real-time analytics and data integration. You will learn about Cloud Composer, a fully managed workflow orchestration service, along with other data-related technologies, gaining insights into how they facilitate the management and automation of complex data workflows. This course helps prepare learners for the Google Cloud Digital Leader certification exam.