Understand how to monitor data flows, detect incidents, and improve the operational reliability of a data platform.
This deck is for anyone working on best practices related to Data Engineering, from beginner to intermediate.
You will work on points such as: In one sentence, how does data reliability differ from data quality? · What is the primary responsibility of the central data platform team… · In production, what does data observability primarily enable for data….
1In one sentence, how does data reliability differ from data quality?
Answer: Reliability concerns consistency of delivery, while quality concerns fitness of content for use
2What is the primary responsibility of the central data platform team in data ownership?
Answer: Providing reliable shared infrastructure and tooling for domains to publish and consume data
3In production, what does data observability primarily enable for data teams?
Answer: Continuous visibility into the health and behavior of data and pipelines
4What is a key focus that distinguishes data observability from classic application monitoring?
Answer: Tracking correctness and timeliness of data flowing through systems
5Who should be the primary owner of the runbook for a domain-specific data incident?
Answer: The domain data owner responsible for that dataset or pipeline
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