Thu.Jan 09, 2025

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Data Integrity for AI: What’s Old is New Again

Precisely

Artificial Intelligence (AI) is all the rage, and rightly so. By now most of us have experienced how Gen AI and the LLMs (large language models) that fuel it are primed to transform the way we create, research, collaborate, engage, and much more. Yet along with the AI hype and excitement comes very appropriate sanity-checks asking whether AI is ready for prime-time.

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From Machine Learning to AI: Simplifying the Path to Enterprise Intelligence

Cloudera

A Name That Matches the Moment For years, Clouderas platform has helped the worlds most innovative organizations turn data into action. As the AI landscape evolves from experiments into strategic, enterprise-wide initiatives, its clear that our naming should reflect that shift. Thats why were moving from Cloudera Machine Learning to Cloudera AI. This isnt just a new label or even AI washing.

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What Are Large Language Models? A Beginner’s Guide for 2025

KDnuggets

Curious about what LLMs are and want to know about them? Explore the Full Guide Right Here, Right Now!

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Delta Lake and restore - traveling in time differently

Waitingforcode

Time travel is a quite popular Delta Lake feature. But do you know it's not the single one you can use to interact with the past versions? An alternative is the RESTORE command, and it'll be the topic of this blog post.

IT 130
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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. 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

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How I Would Learn Data Science in 2025 (If I Could Start Over)

KDnuggets

Five years ago, I was a data science beginner learning the ropes. If I could start anew in 2025, here's what I would do.

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The Future of Data Engineering Is Here—5 Trends You Can’t Ignore in 2025!

Hevo

Have you ever felt like data engineering is evolving at the speed of light? With new tech emerging almost daily, it’s no surprise that staying ahead of the curve is harder than ever. As we step into the fantastic year 2025 ahead, the rate at which data engineering changes is at an all-time high.