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The practitioner's guide to graph data /

Broecheler, Matthias,

The practitioner's guide to graph data /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	The practitioner's guide to graph data /Denise Koessler Gosnell and Matthias Broecheler.
作者:	Gosnell, Denise,
其他作者:	Broecheler, Matthias,
出版者:	Sebastopol, CA :O'Reilly Media, Inc.,2020.
面頁冊數:	xvii, 397 p. :ill. ;24 cm.
標題:	Database management.
ISBN:	9781492044079 (pbk.) :

The practitioner's guide to graph data /
Gosnell, Denise,

The practitioner's guide to graph data /Denise Koessler Gosnell and Matthias Broecheler. - 1st ed. - Sebastopol, CA :O'Reilly Media, Inc.,2020. - xvii, 397 p. :ill. ;24 cm.

Includes bibliographical references and index.

Graph thinking -- Evolving from relational graph thinking -- Getting started : a simple customer 360 -- Exploring neighborhoods in development --Exploring neighborhoods in production -- Using trees in development --Using trees in production -- Finding paths in development -- Finding pathsin production -- Recommendations in development -- Simple entity resolutionin graphs -- Recommendations in production -- Epilogue.

Graph data closes the gap between the way humans and computers view the world. While computers rely on static rows and columns of data, peoplenavigate and reason about life through relationships. This practical guidedemonstrates how graph data brings these two approaches together. Byworking with concepts from graph theory, database schema, distributedsystems, and data analysis, you'll arrive at a unique intersection known asgraph thinking. Authors Denise Koessler Gosnell and Matthias Broechelershow data engineers, data scientists, and data analysts how to solve complexproblems with graph databases. You'll explore templates for building withgraph technology, along with examples that demonstrate how teams think about graph data within an application.--

ISBN: 9781492044079 (pbk.) :NT$1827

LCCN: 2021443000Subjects--Topical Terms:

182428
Database management.

LC Class. No.: QA76.9.D3 / G683 2020

Dewey Class. No.: 005.75

The practitioner's guide to graph data /
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300 $a xvii, 397 p. : $b ill. ; $c 24 cm.
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505 0 $a Graph thinking -- Evolving from relational graph thinking -- Getting started : a simple customer 360 -- Exploring neighborhoods in development --Exploring neighborhoods in production -- Using trees in development --Using trees in production -- Finding paths in development -- Finding pathsin production -- Recommendations in development -- Simple entity resolutionin graphs -- Recommendations in production -- Epilogue.
520 $a Graph data closes the gap between the way humans and computers view the world. While computers rely on static rows and columns of data, peoplenavigate and reason about life through relationships. This practical guidedemonstrates how graph data brings these two approaches together. Byworking with concepts from graph theory, database schema, distributedsystems, and data analysis, you'll arrive at a unique intersection known asgraph thinking. Authors Denise Koessler Gosnell and Matthias Broechelershow data engineers, data scientists, and data analysts how to solve complexproblems with graph databases. You'll explore templates for building withgraph technology, along with examples that demonstrate how teams think about graph data within an application.-- $c Source other than the Library of Congress.
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