MongoDB Functionality - Data Modeling for MongoDB - page 65

Business unIntelli-
gence

Data Warehouse, Business
Intelligence

Insight and Innovation beyond Analytics and Big Data 442

Secrets of Analytical
Leaders

268 Analytics

Here is the statement to add these three new titles to our topic collection:

db.book.insert( [ { titleName : “Extreme Scoping”,
subtitleName : “An Agile Approach to Enterprise Data Warehousing and Business Intelligence”,
pageCount : 300,
categories : [ “Agile”, “Business Intelligence” ]
},
{
titleName : “Business unIntelligence”,
subtitleName : “Insight and Innovation beyond Analytics and Big Data”,
pageCount : 442,
categories : [ “Data Warehouse”, “Business Intelligence” ]
},
{
titleName : “Secrets of Analytical Leaders”,
pageCount : 268,
categories : [ “Analytics” ]
} ] )

Note that not all documents have to contain all fields since the third book does not have a
subtitle. Also note how easy it is to add multiple values for a single field through an array
as in adding the topics' categories. Let's do another find( ) and see what comes back:

db.book.find( )

And this is what is returned:

{ “_id” : ObjectId(“530f8be4d77a08823086017c”), “titleName” : “Data Modeling for MongoDB” }
{ “_id” : ObjectId(“530f8be4d77a08823086017d”), “titleName” : “Data Modeling Made Simple” }
{ “_id” : ObjectId(“530f8be4d77a08823086017e”), “titleName” : “Extreme Scoping” }
{ “_id” : ObjectId(“530f8be4d77a08823086017f”), “titleName” : “UML Database Modeling Workbook” }