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Observability in Your Data Pipeline: A Practical Guide

Databand.ai

Better decision-making: Real-time insights into data processing allow for more informed decisions about resource allocation or process optimization. 5 Things You Must Monitor in a Data Pipeline To achieve observability, track specific metrics and events that provide insights into your pipeline’s functionality.

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Top Data Cleaning Techniques & Best Practices for 2024

Knowledge Hut

Automated data validation tools can also help detect anomalies, outliers, and inconsistencies. Language Translation: Unifying the Message Maintain consistency by keeping your data in one language. Most data analysis tools work best with single-language data.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

Within no time, most of them are either data scientists already or have set a clear goal to become one. Nevertheless, that is not the only job in the data world. And, out of these professions, this blog will discuss the data engineering job role. to accumulate data over a given period for better analysis.