Reliable Pipelines and High Quality Data Without the Toil - Kyle Kirwan
Offered By: Open Data Science via YouTube
Course Description
Overview
Explore the power of data observability in this 26-minute talk by Kyle Kirwan. Learn why maintaining high-quality data is crucial and how data observability provides insights into pipeline operations. Discover techniques to identify issues early, optimize performance, and reduce maintenance toil in data projects. Delve into key components of data observability, including metrics, data, lineage, and alerts. Gain valuable knowledge on building reliable pipelines and improving data quality without excessive manual effort.
Syllabus
- Introductions
- Why data observability?
- How to reduce toil?
- Data Observability components: metrics
- Data Observability components: data
- Data Observability components: lineage
- Data Observability components: alerts
Taught by
Open Data Science
Related Courses
Building Advanced Codeless Pipelines on Cloud Data FusionGoogle Cloud via Coursera Principles for Data Quality Measures
Pluralsight Manage workspaces and datasets in Power BI
Microsoft via Microsoft Learn Building Advanced Codeless Pipelines on Cloud Data Fusion
Google via Qwiklabs Exploring the Lineage of Data with Cloud Data Fusion
Google Cloud via Coursera