YoVDO

Reliable Pipelines and High Quality Data Without the Toil - Kyle Kirwan

Offered By: Open Data Science via YouTube

Tags

Data Pipelines Courses Data Lineage Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Google Cloud Big Data and Machine Learning Fundamentals en Español
Google Cloud via Coursera
Data Analysis with Python
IBM via Coursera
Intro to TensorFlow 日本語版
Google Cloud via Coursera
TensorFlow on Google Cloud - Français
Google Cloud via Coursera
Freedom of Data with SAP Data Hub
SAP Learning