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The Practitioner's Guide to Graph Data
Applying Graph Thinking and Graph Technologies to Solve Complex Problems
Taschenbuch von Denise Gosnell (u. a.)
Sprache: Englisch

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Beschreibung
"Show[s] data engineers, data scientists, and data analysts how to solve complex problems with graph databases ... [and] explore[s] templates for building with graph technology, along with examples that demonstrate how teams think about graph data within an application"--
"Show[s] data engineers, data scientists, and data analysts how to solve complex problems with graph databases ... [and] explore[s] templates for building with graph technology, along with examples that demonstrate how teams think about graph data within an application"--
Über den Autor

Dr. Denise Gosnell's passion for examining, applying, and evangelizing the applications of graph data was ignited during her apprenticeship under Dr. Teresa Haynes and Dr. Debra Knisley during her first NSF Fellowship. This group's work was one of the earliest applications of neural networks and graph theoretic structure in predictive computational biology. Since then, Dr. Gosnell has built, published, patented, and spoke on dozens of topics related to graph theory, graph algorithms, graph databases, and applications of graph data across all industry verticals.

Currently, Dr. Gosnell is with DataStax where she aspires to build upon her experiences as a data scientist and graph architect. Prior to her role with DataStax, she built software solutions for and spoke at over a dozen conferences on permissioned blockchains, machine learning applications of graph analytics, and data science within the healthcare industry.

Dr. Matthias Broecheler is a technologist and entrepreneur with substantial research anddevelopment experience who is focused on disruptive software technologies and understanding complex systems. Dr. Broecheler's is known as an industry expert in graph databases, relational machine learning, and big data analysis in general. He is a practitioner of lean methodologies and experimentation to drive continuous improvement. Dr. Broecheler is the inventor of the Titan graph database and a founder of Aurelius.

Details
Erscheinungsjahr: 2020
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781492044079
ISBN-10: 1492044075
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Gosnell, Denise
Broecheler, Matthias
Hersteller: O'Reilly Media
Maße: 233 x 174 x 27 mm
Von/Mit: Denise Gosnell (u. a.)
Erscheinungsdatum: 05.05.2020
Gewicht: 0,741 kg
Artikel-ID: 116817134
Über den Autor

Dr. Denise Gosnell's passion for examining, applying, and evangelizing the applications of graph data was ignited during her apprenticeship under Dr. Teresa Haynes and Dr. Debra Knisley during her first NSF Fellowship. This group's work was one of the earliest applications of neural networks and graph theoretic structure in predictive computational biology. Since then, Dr. Gosnell has built, published, patented, and spoke on dozens of topics related to graph theory, graph algorithms, graph databases, and applications of graph data across all industry verticals.

Currently, Dr. Gosnell is with DataStax where she aspires to build upon her experiences as a data scientist and graph architect. Prior to her role with DataStax, she built software solutions for and spoke at over a dozen conferences on permissioned blockchains, machine learning applications of graph analytics, and data science within the healthcare industry.

Dr. Matthias Broecheler is a technologist and entrepreneur with substantial research anddevelopment experience who is focused on disruptive software technologies and understanding complex systems. Dr. Broecheler's is known as an industry expert in graph databases, relational machine learning, and big data analysis in general. He is a practitioner of lean methodologies and experimentation to drive continuous improvement. Dr. Broecheler is the inventor of the Titan graph database and a founder of Aurelius.

Details
Erscheinungsjahr: 2020
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781492044079
ISBN-10: 1492044075
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Gosnell, Denise
Broecheler, Matthias
Hersteller: O'Reilly Media
Maße: 233 x 174 x 27 mm
Von/Mit: Denise Gosnell (u. a.)
Erscheinungsdatum: 05.05.2020
Gewicht: 0,741 kg
Artikel-ID: 116817134
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