Describe NoSQL database and focused on document database

1. Distributed Database
Document Database

2. What’s Document
• Documents are the main concept in document databases.
• A document in a document database is simply an entity that
contains a collection of named fields
• It can be :
• XML
• JSON
• BSON
• And so on ..

3. Designing Document Database
• Modeling Data as Documents
• JSON, BSON, XML …
• Denormalizing Documents and Embedding Data
• Normalizing Documents and Referencing Data
• Handling Complex Relation
• Retrieving Data and Indexing Documents
• Summarizing Data by Using Materialized Views

4. Materialized Views

5. Oracle vs MongoDB

6. Features
• Consistency
• Replica Set
• Transaction
• Availability
• Query
• Scaling

7. Replica Set

8. Suitable Use Case
• Event Logging
• Content Management Systems, Blogging Platforms
• Web Analytics or Real-Time Analytics
• E-Commerce Applications

9. When Not to Use
• Complex Transactions Spanning Different Operations
• Queries against Varying Aggregate Structure

10. Sample Document
• {
"firstname": "Pramod",
"citiesvisited": [ "Chicago", "London", "Pune", "Bangalore" ],
"addresses": [
{ "state": "AK",
"city": "DILLINGHAM",
"type": "R"
},
{ "state": "MH",
"city": "PUNE",
"type": "R" }
],
"lastcity": "Chicago"
}

11. Popular Document Database
• MongoDB
• CouchDB
• Terrastore
• OrientDB
• RavenDB

12. Sample Case – Product Catalog

13. Sample Case – Order History

14. Sample Architecture

15. MongoDB

16. MongoDB Tools
• mongo, mongod
• mongoimport, mongoexport
• Export and import data as JSON or CSV
• mongodump, mongorestore, bsondump
• Create and restore binary export
• mongostat
• Overviewing the status of the MongoDB server