Try NoSQL it doesn't hurts and is fun

N SQL Pere Urbón-Bayes Moviepilot Gmbh @purbon purbon@purbon.comdijous 30 de juny de 2011

We’re going to talk about? Were we are, and where do we come from? NoSQL. { “motivation” : “use cases” } Graph databases. ....dijous 30 de juny de 2011

{ "if_you":{ "are_the_master_of": [ "movies", "data analytics", "ruby", "git", "nosql" ], "love":"recommendation systems", "would_love_to_know_about":"graph_databases", "believe_in":"open source" }, Moviepilot is a "join_us":"true", leading provider and "contact_with":"jobs at moviepilot.com" discovery service for } movies and series based in Berlin!dijous 30 de juny de 2011

Come and Going History 1960 Navigational Databases 1970 Relational Databases. Edgar Codd Algebra. 1970 ends, SQL DBMS. SQL, DB2, Ingres, PostgreSQL, Sybase,dijous 30 de juny de 2011

dijous 30 de juny de 2011

Where are we now? Is every thing related? Semantic Web Business Intelligence Tagging Folksonomies Social networks Linked Data RDF RDMS Blogs Text Files 1990 2000 2010 2030dijous 30 de juny de 2011

Where are we now? 1980 1990 2000 2010 2020dijous 30 de juny de 2011

How are our apps...? Data warehousing and Business Intelligence. Stream processing. Text search. Scientiﬁc processing. Semi-(un)-structured data.dijous 30 de juny de 2011

How are our apps...? Need to scale Performance, horizontally. Performance, Performance. Partition and replication. Flexibility. OLTP and OLAP. Big even Huge datasets. Web 2.0. .....?dijous 30 de juny de 2011

N SQL select fun, proﬁt from real_world where relational=false and barcelona=true; Carlo Strozzi, 1998. Eric Evans (Rackspace) and Johan Oskarsson (last.fm), early 2009. no:sql(east) 2009, no:sql(eu) 2010.dijous 30 de juny de 2011

N SQL select fun, proﬁt from real_world where relational=false and barcelona=true; Ability to scale Access throw horizontally. different end points. Replication and Dynamic schema distribution. environment. Weaker concurrency Leave more business model. to the app side. Smart use of resources.dijous 30 de juny de 2011

Dismantle Store Rebuild Enjoy Brick Window Roof Unstructured Structured Unstructured?dijous 30 de juny de 2011

ACID select fun, proﬁt from real_world where relational=false and barcelona=true; Atomicity Helps All operations are executed or none is. Understand data. Consistency Persistence guaranteed. Data is consistent after the transaction. Hurts Isolation Horizontal scale. High Availability. Transactions are independent. Durability Changes persist, event if failures.dijous 30 de juny de 2011

“There is a magic bullet! Its called relaxing the requirements.” - Evan Weaver, @evandijous 30 de juny de 2011

CAP select fun, proﬁt from real_world where relational=false and barcelona=true; Consistency mysql Each client has the same view. C A Availability redis P riak All client can read and write. Partition Tolerance Works well across different Only Two!!!! network partitions.dijous 30 de juny de 2011

“You have database problem. You research blog and HN. You start use NoSQL product. Now you not know anymore if you have problem.” - Devops BORAT, @devops_boratdijous 30 de juny de 2011

NoSQL systems. select fun, proﬁt from real_world where relational=false and barcelona=true; Most commons Other systems Column DBs. XML Databases Document DBs. Grid Databases. Key-Value DBs. RDF. Graph DBs. .... Object DBs.dijous 30 de juny de 2011

Column Databases select fun, proﬁt from real_world where relational=false and barcelona=true; Is a DBMS that stores its content by column rather than by row. This has advantages for data warehouses. More efﬁcient with Aggregates and if data is column oriented. Suited for OLAP and not much for OLTP. First implementations, early 1970.dijous 30 de juny de 2011

Apache Cassandra select fun, proﬁt from real_world where relational=false and barcelona=true; Designed to handle very large data spread across multiple commodity servers. High Availability with no SPOF. Born at Facebook, to power Inbox Search. Hybrid system, between column and rows. Initial Release 2008. Version 0.8.1 28/06/11.dijous 30 de juny de 2011

Key-Value Databases select fun, proﬁt from real_world where relational=false and barcelona=true; Allow the use to store key-value pairs, where the key usually consist of a string, and the value is a simple primitive. Suited for use cases where properties and values are enough, ex: proﬁles, logs, etc... Eventually consistent, hierarchy, multivalued, etc.. First implementations, around 1980.dijous 30 de juny de 2011

Redis.io select fun, proﬁt from real_world where relational=false and barcelona=true; Open-source, networked, in-memory, persistent, journaled, key-value datastore. Binding for the major languages. The data structure storage system. Master-Slave replication. High performance. Initial Release 2009. Version 2.2.7 11/05/11dijous 30 de juny de 2011

Document Databases select fun, proﬁt from real_world where relational=false and barcelona=true; Is a DBMS where the default unit of store is a document. XML, JSON, YAML, ..... More complex than Key-Value store. Suited for multi document apps. News, CVs,... Eventual consistency, limited Atomicity and Isolation. One of the ﬁrst, Lotus Notes, 1989.dijous 30 de juny de 2011

OrientDB select fun, proﬁt from real_world where relational=false and barcelona=true; Open source database written in Java. Schema-[full,less,mix] modes. Support SQL, ACID compliant, HTTP, Rest and JSON. Distributed and scalable. Light and embeddable. Binding most langs. Initial Release 2010, Version 1.0rc2 17/06/11dijous 30 de juny de 2011

Graph Databases select fun, proﬁt from real_world where relational=false and barcelona=true; Is a database that uses graph structures with nodes, edges, and properties. Suited for associative datasets, map object oriented app structure. Avoid expensive joins. Are powerful for graph-like operations, like shortest path, communities, etc. First implementations around 2007.dijous 30 de juny de 2011

Graph Databasesdijous 30 de juny de 2011

What is a graph? Graph G(V,E) where V = {v1,v2,...,vN) and E = {E1,E2,...,EN) Directed / Undirected Mixed Multigraph Weighteddijous 30 de juny de 2011

Graph Databases The Property Graph Abstractions Nodes and Relationships. Properties on both. John smith liked http://www.example.com at 01/10/11dijous 30 de juny de 2011

Graph Databases Applications Task planning Dependency analysis Scheduling Impact analysis Process assignation Network ﬂow Routing Trafﬁc analysis and optimization Logistics Delivery League planning optimization Pattern Recognition Optimization of tasksdijous 30 de juny de 2011

Graph Databases Applications Recommendations Walks Heuristics Search (PageRank) algorithms Shooting stars Local K-nearest Shortest Paths neighbors Hammock Functionsdijous 30 de juny de 2011

Graph Databases Applications Semantic web Link analysis RDF (OWL) Store Structure mining RDF-Sail SPARQL Linked data (Open Data)dijous 30 de juny de 2011

Graph Databases Vendors Neo4J: Open source Sones: SaaS dot Net database NoSQL Graph database. graph. OrientDB: The HyperGraphDB: An IA Document-GraphDB. and semantic web graph database. FlockDB: The twitter graphdb. Infogrid: The Internet Graph Pregel: Graph database. Processing at Google.dijous 30 de juny de 2011

Demo timedijous 30 de juny de 2011

Thanks! Questions? Pere Urbón-Bayes Moviepilot Gmbh @purbon purbon@purbon.comdijous 30 de juny de 2011

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Try NoSQL it doesn't hurts and is fun

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