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Building ETL Pipelines With Generative AI

Data Engineering Podcast

Summary Artificial intelligence applications require substantial high quality data, which is provided through ETL pipelines. Contact Info LinkedIn @MishraJay on Twitter Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

Building 162
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Data Collection And Management To Power Sound Recognition At Audio Analytic

Data Engineering Podcast

This was a great conversation about the complexities of working in a niche domain of data analysis and how to build a pipeline of high quality data from collection to analysis. __init__ to learn about the Python language, its community, and the innovative ways it is being used.

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Data Engineering Weekly #125

Data Engineering Weekly

Contribute to the Rudderstack Transformations Library, Win $1000 RudderStack Transformations lets you customize event data in real-time with your own JavaScript or Python code. nHowever, High-Quality Data Creation and Data collaboration going to remain challenging. ","username":"ananthdurai","name":"at-ananth-at-data-folks

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Big Data vs Machine Learning: Top Differences & Similarities

Knowledge Hut

Recognizing the difference between big data and machine learning is pivotal in educational settings, enabling effective utilization of these concepts to gain insights, make informed decisions, and enhance the learning experience. Big Data classes will help you build Python skills with varied approaches to Machine Learning.

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5 Skills Data Engineers Should Master to Keep Pace with GenAI

Monte Carlo

Organizations need to connect LLMs with their proprietary data and business context to actually create value for their customers and employees. They need robust data pipelines, high-quality data, well-guarded privacy, and cost-effective scalability. Data engineers. Who can deliver?

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The Data Janitor Letters - September 2021

Pipeline Data Engineering

A very detailed comparison of Python stream processing libraries Mike Rosam, Cofounder and CEO, Quix “To successfully use Flink in production you must invest serious resources … estimate more than 18 months.”

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Is Prompt Engineering Overhyped? No—But Learn These 3 GenAI Skills Too

Monte Carlo

Why prompt engineering isn’t all that and a bag of SQL queries Understand vector databases Create AI differentiation with RAG Find and solve real business problems High-quality data always lives up to the hype What is prompt engineering? Table of Contents Why is prompt engineering important? What is our AI doing exactly?