Does lot of data clutters your storage space and creates problem for your system. Here is a solution for the same a database that tackled the challenges you face: 'MongoDB' MongoDB is a free open source platform for documentation of database. It deserves a prestigious place in today’s DBMS world. It helps in integration of data stored in application making it accessible. MongoDB rules out conventional table based relational structure with enterprising schemes making it acceptable amongst developers who look on for strong alternative non relational system which has future scope. This current generation of DBMS will add value by maximizing productivity and bringing down costs. MongoDB uses C++ language which provides flexibility with object oriented concepts. Hence it is easy to use.
With widespread usage of such database many websites in the market are coming up with their own database system showcasing their unique features
AT SRY IT Solution MongoDB are present in the following editions.
- Python
- Mongo shell
- Java
- Ruby
- C++
- Nodes JS edition
- C# edition
Spectators may be quiet sceptical about the factors to consider while choosing MongoDB? It is necessary to keep in mind that MongoDB is not an alternative for any other database but it is an added advantage to consolidate your data on one platform.
MongoDB has some striking features which gives a sense of pride for choosing the database:
- High performance with flexible speed
- Built in replication for higher availability
- Auto sharding for horizontal scalability
- JSON DATA with modern Dynamic Schemas
- Hadoop integration
- Rich secondary indexes
Why MongoDB is used as a weapon to unleash the power of software's and big data analytics? Following are the features associated with its benefits which make the MongoDB quiet companionable for big data programs
- Document Oriented Storage: Data is stored in the form of JSON style documents which helps in easy scalability and visibility of document
- Replication and high availability: MongoDB has an automotive setup which manages sets of redundant servers, known as replica sets. The span of Replica sets can be increased with wider data distribution if customer experience low latency.
- Auto-Sharding: MongoDb is designed in such a way that it enables data by 'sharding’ align horizontal approach to save space. Sharding is the process of storing data records across multiple machines. As the data increases in size it is insufficient for a single machine to store data hence it is MongoDB's approach to meet the demands of data growth.
- Balance Queries: Sharding helps to distribute data evenly across multi-node clusters and balances queries across them.
- Fast in-Place Updates: To ensure high availability, users can run multiple elements of a replica set as individual sets across different zones and/or data centres available.
- Professional Support by MongoDB: Support is a very crucial factor without which working with any database would be difficult. Hence, there is always support from the experts. MongoDB has partnered with number of leading cloud computing providers, namely Amazon Web Services, Microsoft and Soft Layer.
The Need of MongoDB in cloud computing: On the storage layer, the advantage of horizontal scaling is a problem in relational databases. Hence NoSQL are designed to take advantage of cloud computing with MongoDB. It stores the related data together instead of separate sheets or tables. This documented data model make them apt for cloud computing
MongoDB has become part and parcel of these industries: MongoDB is rampantly used by many industries; its rapid transition from big data application to day to day application has been one of the greatest sense of recognition in Big Data, Content Management and Delivery, Mobile and Social Infrastructure, User Data Management, Data Hub and data analytics industries.
Integration of Mongo DB by some domains:
Government – Aggregate surveillance data, Criminal cases reports and data collection to be stored and analyzed, and program data management.
Financial Services – market risk analytics and management, reference data management, market data management, and time line series data.
Media and Entertainment – Content management and delivery, user data management, digital asset management, mobile and social apps and content archiving.
Tele-communications – customer service management and improvement, machine to machine platform management and real-time network analysis.
Retail – Product catalogs, Customers data management, upcoming services, digitalized coupons, real-time price optimization.
Healthcare – Electronic generated health care records of patients, Mobile apps for doctors and nurses to connect with each other, laboratory data management and analytics of patients.
MongoDB gives a deep understanding of the concepts required for highly scalable and dynamic database. It deals with the introduction of key concepts in MongoDB address the query language and provides operational considerations and procedures. Try MongoDB at SRY IT Solution to get affable experience.
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