Analytics Vidhya

DECEMBER 30, 2024

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. GenAI is already transforming how data is managed, analyzed, and utilized, paving the way for […] The post Top 11 GenAI Powered Data Engineering Tools to Follow in 2025 appeared first on Analytics Vidhya.

Data Engineering 145

Data Engineering Data Engineer Engineering Utilities 145

Monte Carlo

DECEMBER 30, 2024

Still reeling from the anarchic introduction of generative AI , 2024 saw the beginnings of a tectonic shift in how we manage, enable, and activate our data for business users. And that left a lot of things to write about. For anyone following the data space over the last year, I shared quite a few articles on the hot-button topics that got me excited, from the evolution of data quality to the maturation of self-service architecturesand a whole lot of AI.

Architecture 52

Architecture Data Pipeline Data Engineering Data Engineer 52

KDnuggets

DECEMBER 30, 2024

This is a quick shortlist to make sure youre ticking off the essentials for your job hunt in 2025.

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136

ArcGIS

DECEMBER 30, 2024

How to create a cartographic mask to cover areas of NoData in your web maps.

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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

Cloudyard

DECEMBER 30, 2024

Read Time: 2 Minute, 37 Second Snowflake continues to revolutionize the data world with its modern data platform, scalability, performance, and flexibility. One of its standout features is External Functions , which enable you to call external services directly from Snowflake SQL. In todays competitive market, understanding customer sentiment is key to enhancing customer experience.

AWS 52

AWS Retail Data Pipeline Structured Data 52