Matteo Baglini                            www.dotnettoscana.orgSoftware Developer, Freelancematteo.baglini@gmail.comhttp:/...
No more SQL, awesome!!!                          2
Yes but, why?                3
Modern Web ApplicationRequirements               4
High number of heterogeneous content                                   5
Many connected users                       6
Immediately push info to the users                                     7
Collection of large data sets                                8
Scalable and on-demand architecture                                      9
Dynamic requirements                       10
RDBMS        11
 Tables and relations Schema-full Pre-defined structure Transaction (even  Distributed) Consistency Declarative quer...
Is it the right tool?                        13
Alternative Database  (NoSql)              14
 Alternative structures Schema-free Non transactional Eventual consistency Programmatically query  routine Easy to s...
NoSqlCategories             16
 Data (Value) was identified by  a unique Key The Value can be anything Primarly queriable by Key Examples: Amazon Sim...
 Data contained into    Documents that was identified    by a unique Key   Document was stored as JSON    object (proper...
 Data contained into Tables    and Column Families   Each Column Families was a    set of key-value pairs   Partial sch...
 Data contained into Nodes and    Edges   Each Node was a set of key-    value pairs   Each Edge represent a    relatio...
NoSql  orRDBMS ?          21
PolyglotPersistence              22
The NoSQL movement @ DotNetToscana
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The NoSQL movement @ DotNetToscana

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The NoSQL movement @ DotNetToscana

  1. 1. Matteo Baglini www.dotnettoscana.orgSoftware Developer, Freelancematteo.baglini@gmail.comhttp://it.linkedin.com/in/matteobaglinihttp://github.cpom/bmatte
  2. 2. No more SQL, awesome!!! 2
  3. 3. Yes but, why? 3
  4. 4. Modern Web ApplicationRequirements 4
  5. 5. High number of heterogeneous content 5
  6. 6. Many connected users 6
  7. 7. Immediately push info to the users 7
  8. 8. Collection of large data sets 8
  9. 9. Scalable and on-demand architecture 9
  10. 10. Dynamic requirements 10
  11. 11. RDBMS 11
  12. 12.  Tables and relations Schema-full Pre-defined structure Transaction (even Distributed) Consistency Declarative query language (SQL) 12
  13. 13. Is it the right tool? 13
  14. 14. Alternative Database (NoSql) 14
  15. 15.  Alternative structures Schema-free Non transactional Eventual consistency Programmatically query routine Easy to scale-out Use case oriented 15
  16. 16. NoSqlCategories 16
  17. 17.  Data (Value) was identified by a unique Key The Value can be anything Primarly queriable by Key Examples: Amazon SimpleDB, Azure Table Storage, Riak, Redis, Voldemort, MemcacheDB. 17
  18. 18.  Data contained into Documents that was identified by a unique Key Document was stored as JSON object (properties and values) Values can be scalars, arrays or complex types Queriable by Key or MapReduce Examples: MongoDB, CouchDB, RavenDB 18
  19. 19.  Data contained into Tables and Column Families Each Column Families was a set of key-value pairs Partial schema Queriable by Key, MapReduce or custom langs Examples: Google BigTable, Hbase, Cassandra 19
  20. 20.  Data contained into Nodes and Edges Each Node was a set of key- value pairs Each Edge represent a relationship Queriable by custom langs Examples: Neo4j, OrientDB, Titan, Sones 20
  21. 21. NoSql orRDBMS ? 21
  22. 22. PolyglotPersistence 22
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