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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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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Here are some of the key types of cloud analytics: Descriptive analytics: This type focuses on summarizing historical data to provide insights into what has happened in the past. It helps organizations understand trends, patterns, and anomalies in their data. Poor data integration can lead to inaccurate insights.

Analytics 203
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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). I've done a lot of work in developer tools and data visualization of various kinds. Email: hoglan (dot) jd (at) gmail Hello!

Python 65
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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.

AI 87