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           Earlier, i have discussed many NoSQL datastores in my previous blog. Schema less datastores are really required to make the application scale at any point of time. MySQL can fits only up to small set of data. When the data grows up, its very hard to scale the MySQL DB by using shards/clusters. I opted to chose, MongoDB is one of the best key-value and schema-less store for the immediate migration strategy from SQL. Because, MongoDB is very ease to install. For querying the complex data, in other NoSQL DBs, you need to write a separate Map/Reduce program to segregate  your data. But in MongoDB, simply we can write the queries to analyze it.
Java Objects mapping with NoSQL data store similar to SQL ORM (Object Relational Mapping) using JPA. I am sure the developer will be more happier to use JPA in NoSQL. I found a…

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