Data engineering pipelines are vulnerable to failures during the Daylight Saving Time transitions, and proactive measures are necessary to ensure reliable data processing.
Twitter has revolutionized its real-time event processing architecture to handle over 400 billion events per day, achieving low latency, high accuracy, and reduced operational costs.
Coordinated checkpointing outperforms uncoordinated and communication-induced protocols in streaming dataflows.
Efficient and secure strategies for handling sensitive data in data engineering architectures.
The author presents a novel fault recovery technique called write-ahead lineage, which minimizes overhead and speeds up fault recovery in pipelined query engines.
The author proposes a novel approach to spatio-temporal prediction using graph decomposition learning, enhancing interpretability and reducing errors.
The author argues that attention-based explainability in recommendation models lacks stability and effectiveness, proposing a novel framework based on counterfactual reasoning to enhance path-based explanations.