Remove 2018 Remove Data Pipeline Remove ETL
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The Rise and Fall of Data Science Trends: A 2018–2024 Conference Perspective

ODSC - Open Data Science

The field of data science has evolved dramatically over the past several years, driven by technological breakthroughs, industry demands, and shifting priorities within the community. By analyzing conference session titles and abstracts from 2018 to 2024, we can trace the rise and fall of key trends that shaped the industry.

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How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

Flipboard

Iris was designed to use machine learning (ML) algorithms to predict the next steps in building a data pipeline. Let’s combine these suggestions to improve upon our original prompt: Human: Your job is to act as an expert on ETL pipelines.

Database 152
professionals

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Ask HN: Who wants to be hired? (July 2025)

Hacker News

I'm JD, a Software Engineer with experience touching many parts of the stack (frontend, backend, databases, data & ETL pipelines, you name it). Prior to that, I spent a couple years at First Orion - a smaller data company - helping found & build out a data engineering team as one of the first engineers.

Python 54
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Ask HN: What Are You Working On? (June 2025)

Hacker News

I started Flutter in 2018, back then it felt "magical" for mobile development, now all the competitors caught up. reply efromvt 7 hours ago | prev | next [–] Continuing to plug away at Trilogy, a better SQL for data consumption and analytics. Happy to chat if you're into VMs, query engines, or DSLs.

AI 74