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

ODSC - Open Data Science

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. 20222024: As AI models required larger and cleaner datasets, interest in data pipelines, ETL frameworks, and real-time data processing surged.

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

Flipboard

Let’s combine these suggestions to improve upon our original prompt: Human: Your job is to act as an expert on ETL pipelines. Specifically, your job is to create a JSON representation of an ETL pipeline which will solve the user request provided to you.

Database 153
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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

For instance, British Airways faced a fine of £183 million ($230 million) for a GDPR breach in 2018. Use ETL (Extract, Transform, Load) processes or data integration tools to streamline data ingestion. Non-compliance can result in hefty fines. Poor data integration can lead to inaccurate insights.

Analytics 203