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do I have to map the database table to mongodb document structure or any tool can do that . Its urgent
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do I have to map the database table to mongodb document structure or any tool can do that . Its urgent

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Converting the SQL data isn't even the important part. &nbsp;You have to convert / re-create all of your queries because MongoDB isn't SQL, doesn't run SQL queries. &nbsp;More info: <a href="http://docs.mongodb.org/manual/tutorial/query-documents/" rel="ugc">http://docs.mongodb.org/manual/tutorial/query-documents/</a>
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Converting the SQL data isn't even the important part.  You have to convert / re-create all of your queries because MongoDB isn't SQL, doesn't run SQL queries.  More info: http://docs.mongodb.org/manual/tutorial/query-documents/ [http://docs.mongodb.org/manual/tutorial/query-documents/]

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So I think I need to create collection in mongodb which is same as table structure and create &nbsp;documents and relationship between the documents . pls clarify if that is correct
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So I think I need to create collection in mongodb which is same as table structure and create  documents and relationship between the documents . pls clarify if that is correct

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the philosophy behind using noSQL databases such as MongoDB is that the data needs to be stored in a fashion that makes it easy for consuming applications to read and write therefore reducing latency.<br />
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Simply trying to map your RDBMS data to nosql won't work. You need to look at the use cases for your applications.
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the philosophy behind using noSQL databases such as MongoDB is that the data needs to be stored in a fashion that makes it easy for consuming applications to read and write therefore reducing latency.

Simply trying to map your RDBMS data to nosql won't work. You need to look at the use cases for your applications.

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How to convert 250 tables data with 90 GB of database data to mongodb. please let me know the approach<br />
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Thanks
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How to convert 250 tables data with 90 GB of database data to mongodb. please let me know the approach

Thanks

conversion of SQL server data to mongodb

Databases are organized collections of data, most commonly accessed through management systems including schemas, tables, queries and processes that allow users to enter and manipulate the information or utilize it in other fashions, such as with web applications or for reporting purposes.

Databases

Java Enterprise Edition (Java EE) is a specification defining a collection of Java-based server and client technologies and how they interoperate. Java EE specifies server and client architectures and uses profiles to define technology sets targeted at specific classes of applications. All Java EE profiles share a set of common features, such as naming and resource injection, packaging rules and security requirements.

Java EE

A NoSQL database provides a mechanism for storage and retrieval of data which is modeled in means other than the tabular relations used in relational databases. Motivations for this approach include: simplicity of design, simpler "horizontal" scaling to clusters of machines and finer control over availability. The data structures used by NoSQL databases (e.g. key-value, wide column, graph, or document) are specified from those used by default in relational databases, making some operations faster in NoSQL. Sometimes the data structures used by NoSQL databases are also viewed as "more flexible" than relational database tables.