#data-pipelines

ℹ️ News InfoQ AI 2 min read

LinkedIn Consolidates Hiring Data Pipelines to Power AI Driven Talent Systems

LinkedIn introduced a unified integrations platform to standardize and reconcile hiring data across systems. The platform reduces onboarding time by 72%, improves data consistency and completeness, and enables scalable AI-driven hiring features through standardized schemas, orchestration workflows, and centralized data processing. By Leela Kumili

#data-integration #talent-management #data-pipelines

🕐 14 hours ago

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ℹ️ News InfoQ AI 18 min read

Article: From Batch to Micro-Batch Streaming: Lessons Learned the Hard Way in a Delta Index Pipeline

This article describes how a production delta-index pipeline migrated from scheduled batch to micro-batch Spark Structured Streaming. It covers why record-level streaming was rejected, how partition-based watermarks replaced fragile S3…

#data-pipelines #streaming #batch-processing

🕐 2 days ago

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📈 Newsletters Towards Data Science 11 min read

4 YAML Files Instead of PySpark: How We Let Analysts Build Data Pipelines Without Engineers

How we replaced Python pipelines with dlt, dbt, and Trino — and cut delivery time from weeks to one day. The post 4 YAML Files Instead of PySpark: How We…

#data-engineering #yaml #data-pipelines

🕐 7 days ago

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#data-pipelines — AI News & Research · DeepTrendLab

LinkedIn Consolidates Hiring Data Pipelines to Power AI Driven Talent Systems

Article: From Batch to Micro-Batch Streaming: Lessons Learned the Hard Way in a Delta Index Pipeline

4 YAML Files Instead of PySpark: How We Let Analysts Build Data Pipelines Without Engineers