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M**G
Required reading for investment practitioners
This book remarkably captures the key concepts and methods needed to engineer a robust data ecosystem for an investment management firm. I’ve read it a few times now.
A**H
This book is concise with detailed model examples applying data quality concepts to financial data
The book is easy to understand by applying qualitative metrics to financial data. The examples use real world financial data to demonstrate the engineering concepts used to provide the assessment of data quality. It provides a comprehensive overview of the process as well as providing a framework for Data Governance and Management for the Enterprise.The author does an exemplary job conveying the best practices in modeling methodology and quality management with respect to data analysis.As with other O'Reilly books , the content is succinct and to the point.
O**3
Practice advise for data professionals
Not fluff! This book covers practical ideas for professionals looking to make a difference in their firms.
D**O
The book is concise with detailed model examples applying data quality concepts to financial data.
The book is easy to understand, applying qualitative metrics to financial data. The examples use real world financial data to demonstrate the engineering concepts used to provide the assessments of data quality.It provides a comprehensive overview of the process as well as providing a framework for Data Governance and Management for the Enterprise.The book does an exemplary job conveying best practices in modeling, methodology, and quality management with respect to data analysis.As with other Oreilly books, the content is succinct and to the point.
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