article thumbnail

Top 11 GenAI Powered Data Engineering Tools to Follow in 2025

Analytics Vidhya

What will data engineering look like in 2025? How will generative AI shape the tools and processes Data Engineers rely on today? As the field evolves, Data Engineers are stepping into a future where innovation and efficiency take center stage.

article thumbnail

Data engineer

Dataconomy

Data engineers are the unsung heroes of the data-driven world, laying the essential groundwork that allows organizations to leverage their data for enhanced decision-making and strategic insights. What is a data engineer?

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

10 GitHub Repositories for Mastering Agents and MCPs

KDnuggets

His vision is to build an AI product using a graph neural network for students struggling with mental illness.

article thumbnail

The Ultimate Guide to Vibe Coding: 6 Powerful Frameworks Transforming Software Development

Data Science Dojo

Whether you’re a data engineer, software developer, or just AI-curious, you’ll discover how prompt engineering, large language models, and rapid prototyping are reshaping the future of software development. Copilot excels at code generation for software development, data engineering, and analytics automation.

article thumbnail

The Ultimate Guide to Apache Airflow DAGS

With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code.

article thumbnail

What’s New with Azure Databricks: Unified Governance, Open Formats, and AI-Native Workloads

databricks

For engineering teams, the underlying technology is open-sourced as Spark Declarative Pipelines , offering transparency and flexibility for advanced users. 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.

Azure 238
article thumbnail

Go vs. Python for Modern Data Workflows: Need Help Deciding?

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Go vs. Python for Modern Data Workflows: Need Help Deciding?

Python 284
article thumbnail

Airflow Best Practices for ETL/ELT Pipelines

Speaker: Kenten Danas, Senior Manager, Developer Relations

ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0

article thumbnail

A Guide to Debugging Apache Airflow® DAGs

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.

article thumbnail

Apache Airflow® 101 Essential Tips for Beginners

Due to its widespread adoption, Airflow knowledge is paramount to success in the field of data engineering. It is a versatile tool used in companies across the world from agile startups to tech giants to flagship enterprises across all industries.