Graph Databases

Graph Databases

Ian Robinson Jim Webber Emil Eifrem / Aug 20, 2019

Graph Databases Discover how graph databases can help you manage and query highly connected data With this practical book you ll learn how to design and implement a graph database that brings the power of graphs to

  • Title: Graph Databases
  • Author: Ian Robinson Jim Webber Emil Eifrem
  • ISBN: 9781449356262
  • Page: 293
  • Format: Paperback
  • Discover how graph databases can help you manage and query highly connected data With this practical book, you ll 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 shDiscover how graph databases can help you manage and query highly connected data With this practical book, you ll 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 book s data modeling, query, and code examples, you ll quickly be able to implement your own solution.Model data with the Cypher query language and property graph modelLearn best practices and common pitfalls when modeling with graphsPlan and implement a graph database solution in test driven fashionExplore real world examples to learn how and why organizations use a graph databaseUnderstand common patterns and components of graph database architectureUse analytical techniques and algorithms to mine graph database information

    Graph database Graph database In computing, a graph database GDB is a database that uses graph structures for semantic queries with nodes, edges and properties to represent and store data A key concept of the system is the graph or edge or relationship , which directly relates data items in the store. What Is a Graph Database and Property Graph Neoj Independent of the total size of your dataset, graph databases excel at managing highly connected data and complex queries With only a pattern and a set of starting points, graph databases explore the neighboring data around those initial starting points collecting Graph Databases, published by O Reilly Media Discover how graph databases can help you manage and query highly connected data With this practical book, you ll learn how to design and implement a graph database that brings the power of graphs to bear on a broad range of problem domains. Neoj Graph Platform The Leader in Graph Databases Graph Databases for Connected Data Get started with O Reilly s Graph Databases and discover how graph databases can help you manage and query highly connected data Download Now What Is a Graph Database Web Services AWS The graph database defined Graph databases use nodes to store data entities, and edges to store relationships between entities An edge always has a start node, end node, type, and direction, and an edge can describe parent child relationships, actions, ownership, and the like There is no limit to the number and kind of relationships a node can have. Top Graph Databases Compare Reviews, Features Nodes and edges are sometimes tagged with labels that represent roles Graph databases are useful in domains where entities and relationships are equally important They assemble the simple concepts of nodes and relationships between nodes into connected structures allowing users to build models and map their problems. What is a graph database A better way to store connected Mar , Graph database features A social network is a good example of a graph The people in the network would be the nodes, the attributes of each person such as name, age, and so on would be properties, and the lines connecting the people with labels such as friend or mother or supervisor would indicate their relationship. Introduction to Graph Databases Compose Articles May , In this context, a Graph Database represents a mathematical Graph Specifically a Graph Database will typically be a Directed Graph In Mathematical terms, a Graph is simply a collection of elements typically called Nodes also called Vertices or Points that are joined together by Edges. SQL Server Graph Databases Part Introduction Simple The SQL Server Graph Database You can represent all three relationships as data in a single edge table in the graph database, with each relationship in its own row A node table works much the same way, except that it includes a row for each entity You can also Best Graph Databases Software in G Crowd Best Graph Databases Software Graph databases use topographical data models to store data These databases connect specific data points nodes and create relationships edges in the form of graphs that can then be pulled by the user with queries Nodes can represent customers, companies, or any data a company chooses to record.

    • Best Download [Ian Robinson Jim Webber Emil Eifrem] Ê Graph Databases || [Mystery Book] PDF ✓
      293 Ian Robinson Jim Webber Emil Eifrem
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    About "Ian Robinson Jim Webber Emil Eifrem"

      • Ian Robinson Jim Webber Emil Eifrem

        Librarian Note There is than one author in the database with this name.


    1. The title of this book ought to be Neo4j, with a bit about general graph database theory. While implying to be a book about graph databases in general, all examples specificly use Neo4j.Queries are demonstrated using Cypher, Neo4j's query language. Other code examples show how to write custom Java code that uses Neo4j's various APIs.That said, I didn't mind it much, because I knew that the authors are the creators and core developers of Neo4j, and that Neo4j is the dominant graph database on the [...]

    2. Note: You can get the 2nd edition for free from the authors here: graphdatabases/A good introduction to Neo4j, less to graph databases in general. It goes from the basics, to using the query language Cypher, to some use-cases, internal technologies, and a quick primer on graph algorithms (Dijkstra's algorithm, A*).Very American, the tone is overenthusiastic to the point of being hilarious:[]graph databases lack the kind of schema-oriented data governance mechanisms we're familiar with in the rel [...]

    3. Just finished reading an early release version of 'Graph Databases' (to be published next month). While perhaps overly focused on Neo4j (not surprising, given the three authors), this is the best reference out there on graph data modeling. That said, I have a few comments:- Graphs needn't be as schemaless as the authors indicate. I haven't used Neo4j, but they claim that types/labels on nodes are not yet directly supported (p40), so I guess this is one reason why they downplay schemas and ontolo [...]

    4. Interesting but feels like an advert for Neo4j, which is unsuprising given the authors. After reading this I feel like every problem I see could be solved with a graph database. I think I need to try it out on a personal project and see how it holds together.

    5. This is an OK book. It's more about Neo4j and its Cypher language than about graph databases, but, well, why not. My biggest complain is about the written style: pick up one thing, which is pain for relation databases (recursive joins) and compare it with simple example using graph database. I've missed some real life performance comparisons. I like the idea of graph databases, but this book didn't help me to understand the pros and cons of it.

    6. I read early release. So far, I felt graph database do have way to relief "join pain" in term of its native graph modeling.What may be interested to hear is how partition of graph with billions of heterogeneous nodes cloud be made so that most heavily used query could be optimized from low bandwidth communications or etc.

    7. Got it as a free book on neo4j's website. It is centered around neo4j, dont expect too much on graph databases in general. It is basically a collection of their blog posts. Generally, fairly informative and supported with decent examples but can be repetitive as it has not be edited too much to be read as a book.

    8. While some of the criticism is fair (it's focused on Neo4j rather than graph databases in general, it's too detailed for non-techies and a tad high level for techies and so on), I still found it to be a very good and informative read.

    9. “Graph Databases” was more fun to read than the typical O'Reilly animal book. It was still full of technical information. I think because it was shorter (just under 200 pages( and had lots of pictures (graphs) that it felt less deep.The book starts by being very clear what it in scope. It's the topic of graph databases and not a graph compute engine. I particularly liked the example of why relational databases fall short.Cypher is used to show how to write queries. Taking a relational proble [...]

    10. I already have some practical hands-on experience with graph databases so my interest in reading the book was to see how other practitioners covered the topic and to understand their points of view. The book is well written and easy to read. I read it over a couple of days. The main reason I only gave three stars was I felt the book was a bit too much focused on the Neo4J database and the Cypher query language. At times it read more like a Neo4J programmer's reference. While this is understandab [...]

    11. This is a pretty good introductions to graph databases. It is written by people involved in Neo4j, so it is heavy on Neo4j methodologies and syntax. That's OK, though, because there are some concrete examples of graph DB implementations, queries, and configuration.About halfway through the book I was wondering why everyone is not using graph databases. They may not be the best choice for every data model, but it seems like they could be a viable choice in a lot of cases. However, when the book g [...]

    12. Interesting introduction to the world of graph databases. Especially enlightening as to where it can be of use. Various examples are used that show it is not just a 'facebook-like' app that can benefit from this. The build up of the book was also good. From a basic understanding of graphs (yes, it helps to have some mathematical background in this area) to the way one can build a database out of it and query it, ending with some detailed customer cases where a graph database was used.One note, a [...]

    13. This is not a book that surveys graph databases. In fact the only real comparison of graph databases is relegated to the appendix.It is not even an objective account of 'native' graph databases; note, for instance, that the term 'hypergraph' only appears in that appendix.Instead this is a thinly disguised user guide for the Neo4J databases with one incongruous chapter on 'graph theory' (no maths - good, since it would contradict a lot of what is said about 'property graphs') and graph algorithms [...]

    14. An excellent overview of graph databases, along with cogent arguments for when they best fit into particular businesses, this book is an outstanding starting point for introducing programmers and their business partners to the benefits of graph data.While not light on the technical details, it takes an opinionated "for" stance on Agile and Test-Driven Development, spending almost an entire chapter on how Graph Databases fit within an Agile, Test-Driven paradigm. I take no stance on well-implemen [...]

    15. I'm 99% certain I received this book from Neo Technology employee and this book is essentially a giant ad for Neo4j. Not a bad ad, just an ad.If you're vaguely aware of what a graph is and have the notion you want to play with a graph database, Neo4j is definitely a great place to start. The book says it wants to be graph database neutral when really it's very specifically about Neo4j which some points on what is specific to that database and what is just generally expected of a graph.Also some [...]

    16. Good book as an introduction to graph databases. One of it's advantages is relative conciseness (I think it's about 200 pages long). IMHO it's mandatory reading before you start a project which relies on one of graph databases. Especially chapter 6 (database internals) is extremely useful. Without reading this book (or anything similar online) it's likely to happen then you and your teammates will use graph database in the same way as they used RDBMS.Cons:- it focuses too much on Neo4j - does no [...]

    17. Great introduction to the concepts of graph databases and Neo4J and Cypher in particular. A lot of the examples give actual Cypher queries and I felt that it would have been best to actually have a working development Neo4J/Cypher environment in order to be able to follow along and try out the specific examples. Additionally, I recently found out that in version 2 of Neo4J one of the new features (Labels) move away from the repeated calls in the book to ensure your queries have a start node for [...]

    18. Wow, I'm sold on the benefits of graph data bases over relational databases, at least for big interconnected data that wants intricate multi-stage queries such as "Who are the authors recommended by friends of the people who read the books recommended by fans of Nabokov and David Mitchell and Penelope Fitzgerald?" In the appendix the authors acknowledge semantic triples can be stored in graph db (see "Blueprints Sail API" which seems to provide api for rdf queries into graph databases) for quick [...]

    19. The title of the book could have very well been Introduction to Neo4J. The book is more about neo4j and its promotion than graph databases as such. The book gives good insight to cypher - the query language of neo4j and neo4j internals. But it also makes many over the top claims about neo4j's performance and the limitations of other and non graph databases. All the limitations regarding NEO4J are presented as an advantage or somehow not a limitation. Overall a good book if you want to learn abou [...]

    20. While it makes a good overview of graph databases, I can't help but notice how much it focuses on Neo4j. When reading this book have in mind that the authors are all affiliated with Neo Technology -- making the book look like a marketing material for Neo4j. Still, if you don't fall into that trap, it would give you a good overview of what graph databases offer and what use cases they are suitable for.

    21. Reads will till about the end where it loses focus. The last chapters are bad. Very Neo4j centric to the point of not even naming others.The discussion around Graph database modeling and ensuing architectural considerations of actually using them are really well written as is the comparative analysis.

    22. A general insight into Graph Databases with a focus on Neo4j. Didn't flow that well but was impressed that it had a test based implementation focus - which gained it an extra star in my review.Outlines the NoSQL family of DBs and provides useful comparisons and insights throughout. Quite a specialist book but if you are looking to use a Graph Database these is well worth reading.

    23. Great introduction to graph databases -- specifically Neo4j and Cypher. The approach in this book was helpful - iterating on problems and showing how one potential solution brings up new problems if you don't think it through.

    24. Very good (& short) book, covering the basics of graph databases, using the Neo4j for examples. Book covers how to represent models as graphs, how to organize data, perform queries, etc. It also briefly covers some internal details of Neo4j's implementation.

    25. A pretty good introduction to the topic, which helps you decide whether a graph database is appropropriate for your problem. However, there is not enough information to enough to actually get started.

    26. Good intro and starting point for graph db newbie. The book concentrates too much on neo4j and it's better if the title said "Intro to graph database with neo4j".

    27. Excellent intro to graphing databasing. Perfect mix of layman explanations and technical background. Very current too.

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