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The practitioner's guide to graph data /

Broecheler, Matthias,

The practitioner's guide to graph data /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	The practitioner's guide to graph data /Denise Koessler Gosnell and Matthias Broecheler.
Author:	Gosnell, Denise,
other author:	Broecheler, Matthias,
Published:	Sebastopol, CA :O'Reilly Media, Inc.,2020.
Description:	xvii, 397 p. :ill. ;24 cm.
Subject:	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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020 $a 9781492044079 (pbk.) : $c NT$1827
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050 0 0 $a QA76.9.D3 $b G683 2020
082 0 4 $a 005.75 $2 23
100 1 $a Gosnell, Denise, $e author. $3 913745
245 1 4 $a The practitioner's guide to graph data / $c Denise Koessler Gosnell and Matthias Broecheler.
250 $a 1st ed.
260 $a Sebastopol, CA : $b O'Reilly Media, Inc., $c 2020.
300 $a xvii, 397 p. : $b ill. ; $c 24 cm.
504 $a Includes bibliographical references and index.
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.
650 0 $a Database management. $3 182428
650 0 $a Graph databases. $3 835026
650 0 $a Information visualization. $3 248886
700 1 $a Broecheler, Matthias, $e author. $3 913746