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Neo4j High Performance
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Index
IfyouareaprofessionalorenthusiastwhohasabasicunderstandingofgraphsorhasbasicknowledgeofNeo4joperations,thisisthebookforyou.Althoughitistargetedatanadvanceduserbase,thisbookcanbeusedbybeginnersasittouchesuponthebasics.So,ifyouarepassionateabouttamingcomplexdatawiththehelpofgraphsandbuildinghighperformanceapplications,youwillbeabletogetvaluableinsightsfromthisbook.
目錄(78章)
倒序
- coverpage
- Neo4j High Performance
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Support files eBooks discount offers and more
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Chapter 1. Getting Started with Neo4j
- Graphs and their utilities
- Types of NoSQL databases
- The Neo4j graph database
- The Neo4j setup and configurations
- Configure Neo4j for Amazon clusters
- Cloud deployment with Azure
- Summary
- Chapter 2. Querying and Indexing in Neo4j
- The Neo4j interface
- Introduction to Cypher
- Cypher graph operations
- Advanced Cypher tricks
- Gremlin – an overview
- Indexing in Neo4j
- Migration techniques for SQL users
- Useful code snippets
- Summary
- Chapter 3. Efficient Data Modeling with Graphs
- Data models
- Property graphs
- Design constraints in Neo4j
- Graph modeling techniques
- Schema design patterns
- Modeling across multiple domains
- Summary
- Chapter 4. Neo4j for High-volume Applications
- Graph processing
- Big data and graphs
- Processing with Hadoop or Neo4j
- Managing transactions
- The graphalgo package
- Introduction to Spring Data Neo4j
- Summary
- Chapter 5. Testing and Scaling Neo4j Applications
- Testing Neo4j applications
- Unit testing
- Performance testing
- Benchmarking performance with Gatling
- Scaling Neo4j applications
- Summary
- Chapter 6. Neo4j Internals
- Introduction to Neo4j internals
- Working of your code
- Storage for properties
- Caching internals
- Cache types
- Transactions
- High availability
- Summary
- Chapter 7. Administering Neo4j
- Interfacing with the tools and frameworks
- Admin tricks
- Memory mapped I/O configuration
- Neo4j server logging
- Neo4j server security
- Summary
- Chapter 8. Use Case – Similarity-based Recommendation System
- The why and how of recommendations
- Building a recommendation system
- Recommendations on map data
- Visualization of graphs
- Summary
- Index 更新時間：2021-07-23 20:17:25
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