Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Code Once, Use Often - Declarative Data Pipelines

Databricks via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore declarative data pipelines in this 28-minute conference talk featuring Anthony Awuley and Carter Kilgour from Flashfood. Learn about food waste reduction efforts, Flashfood's data challenges, and the evolution of their data pipeline solutions. Discover the benefits of declarative approaches, including code reusability and automation. Gain insights into tools like airflow-declarative, SyncTable, and custom operators for extract and transform processes. Understand key lessons learned, future challenges, and the potential of Spark YAML. Conclude with a discussion on Keillor's Principles and the importance of feedback in data engineering.

Syllabus

Intro
Agenda
Food Waste
Flashfood Data
Problem Definition
Attempt 1
The Declarative Data Pipeline
Attempt 3
The right amount of automation
Why configs?
airflow-declarative
SyncTablelob
Custom Operator
Extract
Transform
Summary
Lessons Learned
Challenges ahead
Spark YAML
Keillor's Principles
Feedback

Taught by

Databricks

Reviews

Start your review of Code Once, Use Often - Declarative Data Pipelines

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.