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000722798 0247_ $$a10.1007/978-1-4842-0022-3$$2doi
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000722798 050_4 $$aQA76.9.D32$$bJ67 2014eb
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000722798 1001_ $$aJordan, Greg,$$eauthor.
000722798 24510 $$aPractical Neo4j$$h[electronic resource] /$$cGreg Jordan.
000722798 264_1 $$a[Berkeley, CA] :$$bApress,$$c2014.
000722798 264_2 $$aNew York, NY :$$bDistributed to the book trade worldwide by Springer,$$c2014.
000722798 264_4 $$c©2014
000722798 300__ $$a1 online resource (xviii, 408 pages) :$$billustrations
000722798 336__ $$atext$$btxt$$2rdacontent
000722798 337__ $$acomputer$$bc$$2rdamedia
000722798 338__ $$aonline resource$$bcr$$2rdacarrier
000722798 4901_ $$aThe expert's voice in databases
000722798 500__ $$aIncludes index.
000722798 506__ $$aAccess limited to authorized users.
000722798 520__ $$aWhy have developers at places like Facebook and Twitter increasingly turned to graph databases to manage their highly connected big data? The short answer is that graphs offer superior speed and flexibility to get the job done. It?s time you added skills in graph databases to your toolkit. In Practical Neo4j, database expert Greg Jordan guides you through the background and basics of graph databases and gets you quickly up and running with Neo4j, the most prominent graph database on the market today. Jordan walks you through the data modeling stages for projects such as social networks, recommendation engines, and geo-based applications. The book also dives into the configuration steps as well as the language options used to create your Neo4j-backed applications. Neo4j runs some of the largest connected datasets in the world, and developing with it offers you a fast, proven NoSQL database option. Besides those working for social media, database, and networking companies of all sizes, academics and researchers will find Neo4j a powerful research tool that can help connect large sets of diverse data and provide insights that would otherwise remain hidden. Using Practical Neo4j, you will learn how to harness that power and create elegant solutions that address complex data problems. This book: Explains the basics of graph databases Demonstrates how to configure and maintain Neo4j Shows how to import data into Neo4j from a variety of sources Provides a working example of a Neo4j-based application using an array of language of options including Java, .Net, PHP, Python, Spring, and Ruby As you?ll discover, Neo4j offers a blend of simplicity and speed while allowing data relationships to maintain first-class status. That?s one reason among many that such a wide range of industries and fields have turned to graph databases to analyze deep, dense relationships. After reading this book, you'll have a potent, elegant tool you can use to develop projects profitably and improve your career options.
000722798 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 16, 2015).
000722798 650_0 $$aNon-relational databases.
000722798 650_0 $$aGraphic methods.
000722798 77608 $$iPrint version:$$z9781484200230
000722798 830_0 $$aExpert's voice in databases.
000722798 852__ $$bebk
000722798 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-1-4842-0022-3$$zOnline Access$$91397441.1
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000722798 980__ $$aBIB
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