The Impact of Daylight Saving Time on Data Engineering Pipelines: Challenges and Solutions
Data engineering pipelines are vulnerable to failures during the Daylight Saving Time transitions, and proactive measures are necessary to ensure reliable data processing.
How Twitter Revolutionized Real-Time Event Processing: Scaling to 400 Billion Events per Day
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.
CheckMate: Evaluating Checkpointing Protocols for Streaming Dataflows
Coordinated checkpointing outperforms uncoordinated and communication-induced protocols in streaming dataflows.
Strategies for Handling Sensitive Data in Data Engineering Architectures
Efficient and secure strategies for handling sensitive data in data engineering architectures.
Efficient Fault Tolerance for Pipelined Query Engines via Write-ahead Lineage
The author presents a novel fault recovery technique called write-ahead lineage, which minimizes overhead and speeds up fault recovery in pipelined query engines.
Enhancing Spatio-Temporal Prediction with Graph Decomposition Learning
The author proposes a novel approach to spatio-temporal prediction using graph decomposition learning, enhancing interpretability and reducing errors.
Counterfactual Reasoning for Explainable Recommendation in Path-Based Models
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.
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