Items related to Introduction to Data Systems: Building from Python
Synopsis
Encompassing a broad range of forms and sources of data, this textbook introduces data systems through a progressive presentation. Introduction to Data Systems covers data acquisition starting with local files, then progresses to data acquired from relational databases, from REST APIs and through web scraping. It teaches data forms/formats from tidy data to relationally defined sets of tables to hierarchical structure like XML and JSON using data models to convey the structure, operations,...
About the Author
Thomas Bressoud is Associate Professor in computer science and data analytics at Denison University, where he has been since 2002. Dr. Bressoud worked outside of academia both before and after completing his MS and PhD degrees from Cornell University in 1996, including seven years at MIT Lincoln Laboratory working in real-time radar systems. After his Ph.D., Dr. Bressoud worked for the startup Isis Distributed Systems and, through the acquisition...
From the Back Cover
Encompassing a broad range of forms and sources of data, this textbook introduces data systems through a progressive presentation. Introduction to Data Systems covers data acquisition starting with local files, then progresses to data acquired from relational databases, from REST APIs and through web scraping. It teaches data forms/formats from tidy data to relationally defined sets of tables to hierarchical structure like XML and JSON using data models to convey...
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Introduction to Data Systems: Building from Python
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Springer (edition 1st ed. 2020), 2021
ISBN 10: 3030543730
ISBN 13: 9783030543730
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Introduction to Data Systems: Building from Python
Published by
Springer (edition 1st ed. 2020), 2021
ISBN 10: 3030543730
ISBN 13: 9783030543730
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Introduction to Data Systems
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