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The Role of an AI Data Quality Analyst

Monte Carlo

As the use of AI becomes more ubiquitous across data organizations and beyond, data quality rises in importance right alongside it. After all, you can’t have high-quality AI models without high-quality data feeding them. Data Validation Tools : Great Expectations, Apache Griffin.

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From Big Data to Better Data: Ensuring Data Quality with Verity

Lyft Engineering

High-quality data is necessary for the success of every data-driven company. It is now the norm for tech companies to have a well-developed data platform. This makes it easy for engineers to generate, transform, store, and analyze data at the petabyte scale.

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Data Observability Tools: Types, Capabilities, and Notable Solutions

Databand.ai

Data catalog and lineage tools: These tools provide visibility into data lineage by tracking the origin, transformation, and consumption of data across the data pipeline. A reliable observability tool should provide customizable alerting options based on specific conditions or thresholds.

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Forge Your Career Path with Best Data Engineering Certifications

ProjectPro

GCP Data Engineer Certification The Google Cloud Certified Professional Data Engineer certification is ideal for data professionals whose jobs generally involve data governance, data handling, data processing, and performing a lot of feature engineering on data to prepare it for modeling.