Course Overview
This course covers the Data Pipeline for Telemetry, focusing on the key requirements driving data platform design, comparing data ingestion pipelines, and explaining how end users can access data to provide value for their projects. The course delves into the data platform architecture, including the data lake, data mart, and user sections, and discusses the importance of a unified data model. It also explores the various ingestion pipelines, such as batch and real-time pipelines, and the tools available for accessing data, including SQL and Jupyter. Through a demonstration, the course shows how to submit data sets to the data platform and use the available analytics tools to derive insight. By the end of the course, learners will be able to describe the key requirements for the data platform, compare the data ingestion pipelines, and explain how to access data to provide value for their projects.
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Chapter Overview
This course covers the Data Pipeline for Telemetry, focusing on the key requirements driving data platform design, comparing data ingestion pipelines, and explaining how end users can access data to provide value for their projects. The course delves into the data platform architecture, including the data lake, data mart, and user sections, and discusses the importance of a unified data model. It also explores the various ingestion pipelines, such as batch and real-time pipelines, and the tools available for accessing data, including SQL and Jupyter. Through a demonstration, the course shows how to submit data sets to the data platform and use the available analytics tools to derive insight. By the end of the course, learners will be able to describe the key requirements for the data platform, compare the data ingestion pipelines, and explain how to access data to provide value for their projects.