TLDR Tech / IT
How Data 360 Segmentation Processes a Quadrillion Records Across Arbitrary Customer Data Models
Data 360's segmentation engine processes around a quadrillion records per month despite customer data being modeled across thousands of tables, relationships, and storage systems. It uses runtime interpretation of customer-defined schemas and relationship graphs, along with workload size estimation, SLA-aware retries, rate limiting, adaptive compute allocation, and production telemetry to maintain reliability at extreme Spark job counts.
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