Integrating Data 1st Edition by Bill Inmon, Patty Haines, David Rapien ISBN 1634622820 978-1634622820

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Product details:

ISBN 10: 1634622820 

ISBN 13: 978-1634622820

Author: Bill Inmon, Patty Haines, David Rapien

Learn all about data integration and become a data integration hero instead of following the masses and running in the opposite direction at the mere mention of the word “integration”. Understand why organizations avoid data integration and often wind up with spider web environments containing siloed applications instead of an enterprise database which excites analysts and data scientists. Distinguish the different types of integration: database, attribute, key, index, encoding, measurement, format, definition, KPI, calculations, summarization, selection criteria, data exclusion, lineage, and timing. Apply identification, equivocation, and physical conversion levels of integration for both structured and textual data. Leverage deidentification, proximity analysis, alternate spelling, stop word resolution, homographic resolution, stemming, taxonomical resolution, inline contextualization, classification, and acronym resolution. Learn how to combine structured and textual data in the context of three levels of interaction. Follow the steps of scope, model, and map in integrating structured data. Follow the steps of scope, connect taxonomies, ingest raw text, and determine analytical processes in integrating textual data. Apply integration best practices, including identifying integration roles, developing a reusable data integration process, and documenting the integration benefits. Compare taxonomies with data models. Know how data integration helps data science.

Table of contents: 

Chapter 1 – Integration

Chapter 2 – Integrating Structured Data

Chapter 3 – Integrating Textual Data

Chapter 4 – Mechanics of Integration

Chapter 5 – Combining Structured and Textual Data

Chapter 6-A Project Plan for Integrating Structured

Chapter 7 – A Project Plan for Integrating Textual Data

Chapter 8-Integration Best Practices

Chapter 9 – Taxonomies and the Data Model

Chapter 10 – Data Science and Integration

Chapter 11 – Documentation and Integration

Chapter 12 – An Example of Integration

Chapter 13 – Integration Considerations

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Bill Inmon,Patty Haines,David Rapien,Integrating Data