Intro
For over a decade, enterprises have pursued the “Kappa Architecture",a unified approach to batch and streaming data. Generic Incremental Compute (GIC) makes this vision practical.
This white paper explores the principles, architecture, and real-world applications of GIC, helping data leaders prepare for the next-gen "kappa" architecture.
Key Takeaways
Understand the S.P.O.T. framework for evaluating modern data systems.
Learn how GIC achieves fresh, scalable, and cost-efficient data pipelines.
Explore reference architectures for real-world deployment.
See how leading platforms (e.g. Rednote) validate GIC at billion-scale workloads.
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Core principles, impact analysis, and practical standards