Data Engineering Weekly

FEBRUARY 23, 2025

Automate Airflow deploys with built-in CI/CD. Streamline code deployment, enhance collaboration, and ensure DevOps best practices with Astro's robust CI/CD capabilities. Try Astro Free → Editor’s Note: Data Council 2025, Apr 22-24, Oakland, CA Data Council has always been one of my favorite events to connect with and learn from the data engineering community.

Data Engineering 62

Data Engineering Data Engineer Engineering Kafka 62

Hevo

FEBRUARY 23, 2025

Organizations generate tons of data every second, yet 80% of enterprise data remains unstructured and unleveraged (Unstructured Data). Organizations need data ingestion and integration to realize the complete value of their data assets.

Data Ingestion 40

Data Ingestion Data Integration Unstructured Data Raw Data 40

Hevo

FEBRUARY 23, 2025

Organizations generate tons of data every second, yet 80% of enterprise data remains unstructured and unleveraged (Unstructured Data). Organizations need data ingestion and integration to realize the complete value of their data assets.

Data Ingestion 40

Data Ingestion Data Integration Unstructured Data Raw Data 40

Hevo

FEBRUARY 23, 2025

You often find yourself caught in data complexity issues like data complexity, communication breakdowns, and data quality issues, making it tough for your teams to handle data modeling. Data modeling best practices creates a clear visual representation of how data is organized and how different pieces of information connect within a system.

Data 40

Data Systems IT Data Engineering 40

Advertisement

In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

Data Pipeline