Neo4j high performance : design, build, and administer scalable graph database systems for your applications using Neo4j / Sonal Raj.

Format:

Book

Author/Creator:

Raj, Sonal, author.

Series:

Community experience distilled.

Community Experience Distilled

Language:

English

Subjects (All):

Database design.

Databases--Programming.

Databases.

Physical Description:

1 online resource (192 p.)

Edition:

1st edition

Other Title:

Design, build, and administer scalable graph database systems for your applications using Neo4j

Place of Publication:

Birmingham, England ; Mumbai, [India] : Packt Publishing, 2015.

Language Note:

English

System Details:

text file

Biography/History:

Raj Sonal: Sonal is a hacker, pythonista, big data believer and a technology dreamer. He has a passion for design and is an artist at heart. He blogs about technology, design and gadgets at http: //www. sonalraj. com/. When not working on projects, he can be found travelling, stargazing or reading. He has pursued engineering in computer science, a masters in IT and loves to work on community projects. He has been a research fellow at IISc and taken up projects on graph computations using Neo4j, Storm and NoSQL databases. Sonal has been a speaker at PyCon India and local Meetups and has also published articles and research papers in leading magazines and international journals. He has contributed to several open source projects. Presently, Sonal works at Goldman Sachs. He is the author of Neo4j High Performance and has reviewed titles on technologies like Storm and Neo4j. I am grateful to the author(s) for patiently listening to my critiques and I'd like to thank the open source community for keeping their passions alive and contributing to such remarkable projects. A special thank you to my parents, without whom I never would have grown to love learning as much as I do.

Summary:

If you are a professional or enthusiast who has a basic understanding of graphs or has basic knowledge of Neo4j operations, this is the book for you. Although it is targeted at an advanced user base, this book can be used by beginners as it touches upon the basics. So, if you are passionate about taming complex data with the help of graphs and building high performance applications, you will be able to get valuable insights from this book.

Contents:

Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started with Neo4j; Graphs and their utilities; Introducing NoSQL databases; Dynamic schemas; Automatic sharding; Built-in caching; Replication; Types of NoSQL databases; Key-value stores; Column family stores; Document databases; Graph databases; Graph compute engines; The Neo4j graph database; ACID compliance; Characteristics of Neo4j; The basic CRUD operations; Neo4j setup and configurations; Modes of setup - the embedded mode; Modes of setup - the server mode

Neo4j high availabilityMachine #1 - neo4j-01.local; Instance #2 - neo4j-02.local; Instance #3 - neo4j-03.local; Configure Neo4j for Amazon clusters; Cloud deployment with Azure; Summary; Chapter 2: Querying and Indexing in Neo4j; The Neo4j interface; Running Cypher queries; Visualization of results; Introduction to Cypher; Cypher graph operations; Cypher clauses; More useful clauses; Advanced Cypher tricks; Query optimizations; Graph model optimizations; Gremlin - an overview; Indexing in Neo4j; Manual and automatic indexing; Schema-based indexing; Indexing benefits and trade-offs

Migration techniques for SQL usersHandling dual data stores; Analyzing the model; Initial import; Keeping data in sync; The result; Useful code snippets; Importing data to Neo4j; Export data from Neo4j; Summary; Chapter 3: Efficient Data Modeling with Graphs; Data models; Aggregated data model; Connected data models; Property graphs; Design constraints in Neo4j; Graph modeling techniques; Aggregation in graphs; Graphs for adjacency lists; Materialized paths; Modeling with nested sets; Flattening with ordered field names; Schema design patterns; Hyper edges; Implementing linked lists

Complex similarity computationsRoute generation algorithms; 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; Deadlock handling; Uniqueness of entities; Events for transactions; The graphalgo package; Introduction to Spring Data Neo4j; Summary; Chapter 5: Testing and Scaling Neo4j Applications; Testing Neo4j applications; Unit testing; Using the Java API; GraphUnit-based unit testing; Unit testing an embedded database; Unit testing a Neo4J server

Performance testingBenchmarking performance with Gatling; Scaling Neo4j applications; Summary; Chapter 6: Neo4j Internals; Introduction to Neo4j internals; Working of your code; Node and relationship management; Implementation specifics; Storage for properties; The storage structure; Migrating to the new storage; Caching internals; Cache types; AdaptiveCacheManager; Transactions; The Write Ahead log; Detecting deadlocks; RWLock; RAGManager; LockManager; Commands; High availability; HA and the need for a master; The master election; Summary; Chapter 7: Administering Neo4j

Interfacing with the tools and frameworks

Notes:

Includes index.

Description based on online resource; title from PDF title page (ebrary, viewed March 20, 2015).

ISBN:

9781783555161

1783555165

OCLC:

934649405