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![GraphDB definition explained • DATA = NODES • (NODES) are Fully Featured JSON Objects, Indexable to ensure uniqueness • These are the population of your Graph Nation • If it is an immutable thing, if you can anthropomorphize it, it should be a (NODE)(Computer, Email, Hash, Service Ticket, IDS Rule, Domain, Threat Actor) • JOINS = EDGES • Every (NODE) must connect to at least one more… as must we all, else why exist? • Individual –EDGES-> are directional: (Chris)-->(You) or (You)-->(Chris) • EDGES + CONTEXT = RELATIONSHIPS • -[:RELATIONSHIPS]-> are Fully Featured JSON Objects! • -[:RELATIONSHIPS]-> give context to the connections between (NODES) • If it is an action or you can’t imagine holding it, it should be a -[:RELATIONSHIP]-> • (Chris) -[:TALKS]->(You) , but are (You)-[:LISTEN]->(Chris) ? RELATIONSHIPS + NODES =](https://image.slidesharecdn.com/graphdb-nosql-eugene-hanikblum-141119093955-conversion-gate01/75/NoSQL-Graph-Databases-Why-When-and-Where-55-2048.jpg)
Uploaded byEugene Hanikblum
NoSQL Graph Databases - Why, When and Where
The document discusses NoSQL graph databases, highlighting their use in big data solutions and the advantages of representing data as nodes, edges, and relationships for efficient storage and retrieval. It covers various use cases including social networks, recommendations, and identity management, illustrating the interconnectedness of data in practical scenarios. OrientDB is presented as a leading document-based NoSQL graph database that simplifies relationship management through direct connections between records.
NoSQL Graph Databases - Why, When and Where
- 1. NoSql Graph Database The New Era of Interpreting Data
- 2. name : EvgenyHanikblum contact : eugene@honeyflower.net current : Owner @ HoneyFlower Systems Founder @ True Contact past : Architect & Consultant @ AlphaCSP CTO @ GILS Transportation CoFounder @ Otenti Systems whoami
- 3. NoSql Graph Databases Contents: NoSQL Graph Databases - the new age of Big Data Solutions Why, when and where should you use NoSQL Graph DB OrientDB - the best of two worlds. A document based NoSQL graph database.
- 4. NoSql : maincategories
- 35. NoSql Graph Databases * In computing, a graph database is a database that uses graph structures with nodes, edges, and properties to represent and store data. A graph database is any storage system that provides index-free adjacency. This means that every element contains a direct pointer to its adjacent elements and no index lookups are necessary.
- 36. Graph DB Why,when and where should I use it 11/12/14
- 37. If your datalooks like this Yes, you can do that with rdbms
- 38. If your datastart looking like this You already into big data graph
- 39. But, if yourdata looks like this one This presentation is for you
- 40. Why, Graph DB Data is more connected: • Text (content) • HyperText (added pointers) • RSS (joined those pointers) • Blogs (added pingbacks) • Tagging (grouped related data) • RDF (described connected data) • Social networks • GGG (content + pointers + relationships + descriptions)
- 41. Graph DB –use cases network, recommendations, social, security, medicine, …
- 42. Graph DB –use cases How Baidu Recorded The Largest Migration on Earth Using A Mapping App 3.6 billion people travelled to visit family during this Chinese New Year. And one smartphone mapping app recorded the entire event
- 43. Graph DB –Baidu
- 44. Graph DB –Baidu
- 45. Graph DB –use cases Network and IT Operations Management The interconnected physical, virtual, and application layers of a network are perfectly modeled in a comprehensive graph. Queries: Quality-of-Service Mapping, Impact Analysis, Root Cause Analysis, Asset Management
- 46. Graph DB –use cases Social Family, friends and followers extend into a social graph which reveals patterns of similar behavior, influence, and implicit groups. Queries: Friend Recommendations, Sharing & Collaboration, Influencer Analysis
- 47. Graph DB –use cases Recommendations Connect the dots of seemingly unrelated interests and relationships to make recommendations that balance fresh with familiar. Queries : Professional Recommendations Product, Social, Service
- 48. Graph DB –use cases Identity and Access Management Who you are, how you belong, and what you’re permitted depends upon the relationships between you, an organization, and a system. Queries : Interconnected Group Organization, Access Management, Provenance
- 49. Graph DB -definition “Graph Databases are a way of storing data in the form of nodes, edges and relationships which provide index-free adjacency. “
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- 55. GraphDB definition explained • DATA = NODES • (NODES) are Fully Featured JSON Objects, Indexable to ensure uniqueness • These are the population of your Graph Nation • If it is an immutable thing, if you can anthropomorphize it, it should be a (NODE)(Computer, Email, Hash, Service Ticket, IDS Rule, Domain, Threat Actor) • JOINS = EDGES • Every (NODE) must connect to at least one more… as must we all, else why exist? • Individual –EDGES-> are directional: (Chris)-->(You) or (You)-->(Chris) • EDGES + CONTEXT = RELATIONSHIPS • -[:RELATIONSHIPS]-> are Fully Featured JSON Objects! • -[:RELATIONSHIPS]-> give context to the connections between (NODES) • If it is an action or you can’t imagine holding it, it should be a -[:RELATIONSHIP]-> • (Chris) -[:TALKS]->(You) , but are (You)-[:LISTEN]->(Chris) ? RELATIONSHIPS + NODES =
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- 57. OrientDB is anopen source NoSQL database written in Java. It is a document-based database, but the relationships are managed as in graph databases with direct connections between records
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- 59. Let’s see how OrientDB manages relationships
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- 99. HoneyFlower Systems Consultancy Architecture Java & BigData solutions info@honeyflower.net