This document contains information about an upcoming #CATAzureDay event. It includes the names and contact information for two organizers, Robert Bermejo and Marcal Montserrat. The agenda lists topics like DocumentDB, a NoSQL document database as a service, and how it allows flexible schemas for JSON documents and querying or updating entire document collections. It also provides examples of JSON documents stored in DocumentDB and how they can be queried using SQL. The document emphasizes that DocumentDB supports multi-region deployment and has options for data consistency policies and indexing modes.

1. #CATAzureDay

2. Robert Bermejo
.NET Architect & Mobile & Azure Practice Lead (Sogeti España,SLU)
Organizador meetup CATzure (@cat_zure)
www.robertbermejo.com
@robertbemejo
https://es.linkedin.com/in/robert-bermejo-blasco-75a73b2a
bermejoblasco@live.com
MarçalMontserrat
@Marcal_MC
Senior Developer & Cloud Specialist (Sogeti España,SLU)
https://es.linkedin.com/in/marçal-montserrat-
53469a41
https://itblogsogeti.com/
https://itblogsogeti.com/
http://www.compartimoss.com/
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3. Agenda
ANTES DEMO DEMO
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4. Las Aplicaciones modernas de hoy
• Consumir datos rápidamente
• Tiempos de respuesta casi instantáneos
• Modelos de datos en constante evolución
• Crecimiento rápido e impredecible.
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5. { }
DocumentDB
Schema Free
query
JavaScript
as a
modern
T-SQL
Tunable
Consistency
Fully
Managed
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6. NoSQL document database-as-a-service
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7. DocumentDB Esquema
/docs/{id} /attachments/{id}
/sprocs/{id}
/triggers/{id}
/functions/{id}
/colls/{id}/dbs/{id}
/users/{id}
/permissions/{id}
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8. Collections != tables
Particionamiento
Transacciones sobre
collection
Schema flexible
Queried or updated se
realiza sobre una collection
DocumentDB Collections
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9. Collections
Document 1 Document 2
Document 3 Document 4
DocumentDB
Application
{
"name": "John",
"country": "Canada",
"age": 43,
"lastUse": "March 4, 2014"
}
{
"name": "Lou",
"country": "Australia",
"age": 51,
"firstUse": "May 8, 2013"
}
{
"docCount": 3,
"last": "May 1, 2014"
}
{
"name": "Eva",
"country": "Germany",
"age": 25
}
JSON
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10. {
“locations”:
[
{“country”: “Germany”, “city”: “Berlin”},
{“country”: “France”, “city”: “Paris”},
],
“headquarter”: “Belgium”,
“exports”:[{“city”; “Moscow”},{“city: ”Athens”}]
};
JSON document as tree
Locations Headquarter
Belgium
Country City Country City
Germany Berlin France Paris
Exports
CityCity
Moscow Athens
0 10 1
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11. SQL SELECT location.country FROM location IN company.locations
WHERE location.city = 'Berlin'
Results
[
{"country": "Germany"}
]
Var company1= { “locations” : [
{“country”: “Germany”, “city”: “Berlin”},
{“country”: “France”, “city”: “Paris”},
], “headquarter”: “Belgium”, “exports”: [
{ “city”; “Moscow” },{ “city: ”Athens” }]
};
Var company2= { “locations” :
[{“country”: “Germany”, “city”: “Bonn”,
revenue”: 200 } ], “headquarter”: “Italy”,
“exports”: [ { “city”; “Berlin” },{ “dealers”:
[{“name”: “Hans”}] }, {city”: ”Athens” }]
};
Locations Headquarter Exports
City CityDealers
Germany Bonn 200 Berlin Name Athens
0 Italy 0 1
Hans
Country City Revenue
Locations Headquarter
Belgium
Country City Country City
Germany Berlin France Paris
Exports
CityCity
Moscow Athens
0 10 1
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12. http://www.documentdb.com/sql/demo
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13. • Javascript
• Mediante stored procedures o triggers
• La inserción de los documentos está bajo una
transacción
• ACID
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14. Document DB soporta la opción multi región
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15. DocumentDB Index
Data consistency policy
Strong Bounded
Staleness
Session Eventual
Indexing
mode
Lazy Eventual Eventual Eventual Eventual
Consistent Strong Bounded
Staleness
Session Eventual
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16. #CATAzureDay

17. DEMO
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