Business Intelligence, Data Profiling and Hadoop

Data Integrity for AI: What’s Old is New Again

Precisely

JANUARY 9, 2025

Data marts involved the creation of built-for-purpose analytic repositories meant to directly support more specific business users and reporting needs (e.g., But those end users werent always clear on which data they should use for which reports, as the data definitions were often unclear or conflicting. A data lake!

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Data Quality Framework: What It Is, Components, and Implementation

DagsHub

AUGUST 23, 2024

A data quality standard might specify that when storing client information, we must always include email addresses and phone numbers as part of the contact details. If any of these is missing, the client data is considered incomplete. Data Profiling Data profiling involves analyzing and summarizing data (e.g.

Data Quality

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Data Integrity for AI: What’s Old is New Again

Data Quality Framework: What It Is, Components, and Implementation

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