- llm
- genai
- quantum-computing
- data
- code
- platform
- algorithms
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ETLC 2.0 - Building Context-Aware Data Pipelines
Think your data pipelines could do more than just process information? ETLC 2.0 takes data engineering to the next level with Adaptive Context, Contextual Joins, and a scalable Context Store. It's not just about moving data—it's about making it intelligent. Ready to unlock the future of data pipelines? Read on.
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(Part 3/3) - Reimagining ETL with Large Language Models—The Path to Intelligent Pipelines
Explore how Large Language Models (LLMs) are revolutionizing ETL pipelines. Discover advanced techniques like context-driven transformations, semantic joins, and multimodal integration, redefining data engineering with smarter, adaptive, and intelligent workflows.
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Data Pipelines Gone Wild - 10 WTF Moments That'll Make You Rethink Your Architecture
Buckle up for a wild ride through 10 mind-blowing data pipeline disasters and their solutions. From ancient code to biased algorithms, this post reveals the chaos and how to conquer it!
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Introducing ETL-C (Extract, Transform, Load, Contextualize) - a new data processing paradigm
Think your AI apps could use a deeper understanding of your data? ETL-C (extract, load, transform, and contextualize) could be the answer. It's about adding context for better decisions. Intrigued? Read on.
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(Part 2/3) Rethinking ETLs - How Large Language Models (LLM) can enhance Data Transformation and Integration
Rethinking ETLs - The Power of Large Language Models. Part 2 Exploring examples and optimization goals