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Data Observability

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DataFunSummit
DataFunSummit
Jul 15, 2023 · Big Data

Intelligent and Automated Data Quality Management in Big Data Systems

This article explores the challenges of data quality in mature big‑data environments and presents intelligent, automated approaches—including assertions, automatic detection, rule recommendation, link checking, and collaborative mechanisms—to embed quality checks throughout the data pipeline, improving efficiency and reliability.

Data ObservabilityDataOpsautomation
0 likes · 18 min read
Intelligent and Automated Data Quality Management in Big Data Systems
DataFunSummit
DataFunSummit
Jan 4, 2023 · Big Data

Data Intelligence Expert Interview – Maturity, Trends, and Practices of Data Middle Platforms

The interview gathers insights from data‑platform experts on the maturity stages, technology trends, implementation methodologies, open‑source ecosystems, system architectures, governance, security, and assessment criteria of modern data middle platforms, offering a comprehensive guide for practitioners.

Data ObservabilityOpen Sourcebig data
0 likes · 28 min read
Data Intelligence Expert Interview – Maturity, Trends, and Practices of Data Middle Platforms