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Graph databases /
Discover how graph databases can help you manage and query highly connected data. With this practical book, you will learn how to design and implement a graph database that brings the power of graphs to bear on a broad range of problem domains. Whether you want to speed up your response to user quer...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, CA :
O'Reilly Media, Inc.,
©2013.
Sebastopol, Calif. : O'Reilly Media, 2013. |
| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Robinson, Ian, |d 1969- |e author. | |
| 245 | 1 | 0 | |a Graph databases / |c Ian Robinson, Jim Webber, and Emil Eifrem. |
| 250 | |a First edition. | ||
| 264 | 1 | |a Sebastopol, CA : |b O'Reilly Media, Inc., |c ©2013. | |
| 264 | 1 | |a Sebastopol, Calif. : |b O'Reilly Media, |c 2013. | |
| 300 | |a 1 online resource (208 pages) : |b illustrations | ||
| 300 | |a 1 online resource (xii, 208 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |2 rda | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 2 | |a Introduction --- Options for storing connected data --- Data modeling with graphs --- Building a graph database application --- Graphs in the real world --- Graph database internals --- Predictive analysis with graph theory --- NOSQL overview. | |
| 505 | 0 | |a What Is a Graph? -- A High-Level View of the Graph Space -- Graph Databases -- Graph Compute Engines -- The Power of Graph Databases -- Performance -- Flexibility -- Agility -- Summary -- Relational Databases Lack Relationships -- NOSQL Databases Also Lack Relationships -- Graph Databases Embrace Relationships -- Summary -- Models and Goals -- The Property Graph Model -- Querying Graphe-An Introduction to Cypher -- Cypher Philosophy -- START -- MATCH -- RETURN -- Other Cypher Clauses -- A Comparison of Relational and Graph Modeling -- Relational Modeling in a Systems Management Domain -- Graph Modeling in a Systems Management Domain -- Testing the Model -- Cross-Domain Models -- Creating the Shakespeare Graph -- Beginning a Query -- Declaring Information Patterns to Find -- Constraining Matches -- Processing Results -- Query Chaining -- Common Modeling Pitfalls -- Email Provenance Problem Domain -- A Sensible First Iteration? -- Second Time's the Charm -- Evolving the Domain -- Avoiding Anti-Patterns -- Summary -- Data Modeling -- Describe the Model in Terms of the Application's Needs -- Nodes for Things, Relationships for Structure -- Fine-Grained versus Generic Relationships -- Model Facts as Nodes -- Represent Complex Value Types as Nodes -- Time -- Iterative and Incremental Development -- Application Architecture -- Embedded Versus Server -- Clustering -- Load Balancing -- Testing -- Test-Driven Data Model Development -- Performance Testing -- Capacity Planning -- Optimization Criteria -- Performance -- Redundancy -- Load -- Summary -- Why Organizations Choose Graph Databases -- Common Use Cases -- Social -- Recommendations -- Geo -- Master Data Management -- Network and Data Center Management -- Authorization and Access Control (Communications) -- Real-World Examples -- Social Recommendations (Professional Social Network) -- Authorization and Access Control -- Geo (Logistics) -- Summary -- Native Graph Processing -- Native Graph Storage -- Programmatic APIs -- Kernel API -- Core (or "Beans") API -- Traversal API -- Nonfunctional Characteristics -- Transactions -- Recoverability -- Availability -- Scale -- Summary -- Depth- and Breadth-First Search -- Path-Finding with Dijkstra's Algorithm -- The A* Algorithm -- Graph Theory and Predictive Modeling -- Triadic Closures -- Structural Balance -- Local Bridges -- Summary. | |
| 520 | |a Discover how graph databases can help you manage and query highly connected data. With this practical book, you will learn how to design and implement a graph database that brings the power of graphs to bear on a broad range of problem domains. Whether you want to speed up your response to user queries or build a database that can adapt as your business evolves, this book shows you how to apply the schema-free graph model to real-world problems. Learn how different organizations are using graph databases to outperform their competitors. With this bookʹs data modeling, query, and code examples, you will quickly be able to implement your own solution: a- model data with the Cypher query language and property graph model; b- Learn best practices and common pitfalls when modeling with graphs; c- plan and implement a graph database solution in test-driven fashion; d- explore real-world examples to learn how and why organizations use a graph database; e- understand common patterns and components of graph database architecture; f- use analytical techniques and algorithms to mine graph database information. | ||
| 588 | 0 | |a Online resource; title from pdf information screen (Ebsco, viewed July 29, 2013). | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Database management. | |
| 650 | 0 | |a Databases. | |
| 650 | 0 | |a Database design. | |
| 650 | 0 | |a Graph theory |x Data processing. | |
| 650 | 6 | |a Bases de données |x Gestion. | |
| 650 | 6 | |a Bases de données |x Conception. | |
| 650 | 7 | |a COMPUTERS |x Database Management |x General. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Desktop Applications |x Databases. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x System Administration |x Storage & Retrieval. |2 bisacsh | |
| 650 | 7 | |a Database design |2 fast | |
| 650 | 7 | |a Database management |2 fast | |
| 650 | 7 | |a Databases |2 fast | |
| 650 | 7 | |a Graph theory |x Data processing |2 fast | |
| 700 | 1 | |a Webber, James. | |
| 700 | 1 | |a Eifrem, Emil, |e author. | |
| 776 | 0 | 8 | |i Print version: |a Robinson, Ian |d 1969-. |t Graph databases. |c Sebastopol, CA : O'Reilly Media, Inc., 2013 |z 9781449356262 |w (OCoLC)829452424 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781449356255/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL1318690 | ||
| 938 | |a EBSCOhost |b EBSC |n 611703 | ||
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| 994 | |a 92 |b IZTAP | ||