Data Pipelines Explained

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United States IBM Technology
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Data is a lot like water; it often needs to be refined as it travels between a source and its final destination. That’s where data pipelines come in – they merge, filter, and summarize raw data, providing the end user with a clean product to analyze. Luv Aggarwal, a Data Solution Engineer at IBM, explains how several processes often embedded within data pipelines – like ETL, replication, virtualization, machine learning, and batch processing – help generate actionable business intelligence.

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#Data #DataPipelines #DataAnalyses #DataIntegration #BusinessIntelligence #ETL



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Tags:
IBM
IBM Cloud
data pipelines
data
data science
data analyses
data integration
data replication
data virtualization
business intelligence
data mining
ETL
Extract transform load
machine learning
batch processing
Luv Aggarwal
Stream injection
data producers
data consumers