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State of Data Quality Report

insideBIGDATA

Bigeye, the data observability company, announced the results of its 2023 State of Data Quality survey. The report sheds light on the most pervasive problems in data quality today. The report, which was researched and authored by Bigeye, consisted of answers from 100 survey respondents.

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Overcome Your Data Quality Issues with Great Expectations

KDnuggets

Bad data costs organizations money, reputation, and time. Hence it is very important to monitor and validate data quality continuously.

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KDnuggets News, November 22: 7 Essential Data Quality Checks with Pandas • The 5 Best Vector Databases You Must Try in 2024

KDnuggets

This week on KDnuggets: Learn how to perform data quality checks using pandas, from detecting missing records to outliers, inconsistent data entry and more • The top vector databases are known for their versatility, performance, scalability, consistency, and efficient algorithms in storing, indexing, and querying vector embeddings for AI applications (..)

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Difference between modern and traditional data quality - DataScienceCentral.com

Flipboard

Modern data quality practices leverage advanced technologies, automation, and machine learning to handle diverse data sources, ensure real-time processing, and foster collaboration across stakeholders.

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7 Essential Data Quality Checks with Pandas

Flipboard

Learn how to perform data quality checks using pandas. From detecting missing records to outliers, inconsistent data entry and more.

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Data Quality: The Good, The Bad, and The Ugly

KDnuggets

Incorrect or unclean data leads to false conclusions. The time you take to understand and clean the data is vital to the outcome and quality of the results. Data Quality always takes the win against complex fancy algorithms.

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Data Quality Fundamentals Expert Panel

KDnuggets

Join Lior Gavish, co-author and Monte Carlo co-founder, Oct 12 @ 1 PM ET, as he explores the latest in data quality techniques with a panel of some of the foremost experts.