AnomalyGuard
Month: February 2026
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This is a regular “data quiz”. Follow it on LinkedIn. Test your knowledge or learn something new. Today Question: Which of these systems is a batch engine? A) Apache Spark B) Kafka C) Flink D) RabbitMQ Correct Answer: A Explanation Apache Spark is primarily a batch processing engine that has become the de facto standard for large-scale data processing in distributed environments. Unlike streaming systems, Spark processes data in…
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The Cross-Race Effect is a psychological phenomenon where people have more difficulty remembering faces from ethnic groups different from their own. While this bias is usually discussed in perception and identification, its consequences extend into data work, analytics, and business intelligence (BI). In data projects, the bias can affect data quality during collection or annotation.…
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Manual alerting and dashboard monitoring rarely look like technical debt. They feel operational. Charts exist. Alerts fire. People respond. Nothing is obviously broken. That is exactly why the debt accumulates unnoticed. Every manually defined alert encodes an assumption about the system. A threshold that once made sense. A metric that used to be stable. A…
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This is a regular “data quiz”. Follow it on LinkedIn. Test your knowledge or learn something new. Today Question: In data pipelines, an “idempotent operation” behaves as: A) Repetition changes the result B) Repetition has no effect C) It speeds up processing D) It requires rollback Correct Answer: B Explanation An idempotent operation in data pipelines means that repeated execution produces the same final result without any further changes. This is critical in distributed systems where duplicate execution or…
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Courtesy Bias is a cognitive bias where respondents adjust their answers to avoid offending others, pleasing the questioner, or aligning with perceived expectations. In business and analytics contexts, this bias often distorts survey responses, feedback, or stakeholder input, creating a false sense of consensus or satisfaction. In data analytics and BI, Courtesy Bias commonly appears…
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Do you know that situation when data is prepared, monitored, high-quality, and accessible through reports? The code is clean, the architecture modern, and the implemented data governance could easily be presented at conferences. And yet, something still feels off. The data is not being used as much as it could or should be. Considering the…
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For many teams, anomaly detection starts as an internal project. The logic seems sound. You have data. You have engineers. How hard can it be to build a pipeline that detects unusual behavior in metrics? The problem is not getting the first version working. The problem is everything that comes after. Custom anomaly detection pipelines…
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This is a regular “data quiz”. Follow it on LinkedIn. Test your knowledge or learn something new. Today Question: Which principle reduces costs in big data processing? A) Denormalization B) Partitioning C) Sharding D) All of the above Correct Answer: D Explanation All three principles—denormalization, partitioning, and sharding—are effective strategies for reducing costs in big data processing. DENORMALIZATION reduces the number of JOIN operations by combining data from multiple tables into…
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The Cheerleader Effect is a cognitive bias where individuals appear more competent, capable, or appealing when seen as part of a group rather than alone. In professional contexts, this can distort perception of individual performance, contribution, or insight within data teams or projects. In BI and analytics, this bias can influence decision-making, reporting, and stakeholder…
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Manual metric monitoring feels responsible. Dashboards are checked. Reports are reviewed. Spreadsheets are updated. On the surface, it looks like control. In reality, it is one of the biggest hidden drains on productivity in data and engineering teams. As systems grow, the number of metrics grows with them. What starts as a manageable set of…