Data Engineering Weekly

MARCH 2, 2025

Annual Report: The State of Apache Airflow® 2025 DataOps on Apache Airflow® is powering the future of business – this report reviews responses from 5,000+ data practitioners to reveal how and what’s coming next. Get the report → 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 Datasets 62

ArcGIS

MARCH 2, 2025

Automating these workflows, can seamlessly connect design data with GIS platforms, ensuring an efficient, data-driven approach.

Designing 57

Designing Data Analytics Architecture Building 57

Monte Carlo

MARCH 2, 2025

AI is the futurebut only if it has the right data. Feed it bad data, and it makes bad decisions. Sometimes really bad ones. AI data governance is the framework for managing AI-driven data, keeping it private, secure, high-quality, and compliant. Without it, bad data leads to bad decisionsand sometimes, financially disastrous consequences. So, how do you get AI data governance right?

Data Governance 52

Data Governance Government Unstructured Data Data Pipeline 52

Edureka

MARCH 2, 2025

Artificial intelligence (AI) has completely transformed the way we interact with technology, making Generative AI-powered chatbots indispensable in development, business, and content creation. Among the most advanced AI models today, DeepSeek AI and OpenAI ChatGPT stand out as leading contenders. DeepSeek AI is made to be fast, work with multiple languages, and be automated.

Coding 40

Coding Accessible Accessibility Education 40

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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