Big Data Analytics Position Statement

Big Data Analytics Position Statement

Description/Paper Instructions

Big Data Analytics Position Statement

write a concise position statement on Big Data and how it is used by an organization for both creating revenue in the market and decreasing costs within the organization.  Discuss what could potentially disrupt the organization’s business model.

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and reply this forum response Microsoft SQL Server is a relational database management system(DBMS) which store a big amount of data, and users can analyze and execute every type of data, for example, primitive types. SQL Server allows users to use a database at a same time. Oracle DB also uses SQL database, and it’s an RDBMS with the largest market share. The logical data structure makes users find data easily, they don’t need to know where the data is stored. In case of system failure, the tool called RMAN can make Oracle get backup and recovery function. It’s not like SQL Server and Oracle, MongoDB is one of the databases under the NOSQL Server and developed by MongoDB Inc. MongoDB supports regular expression searches and range query. Also, MongoDB is an open-resource development model now, just like Amazon Web Services which users can use basic database for free, and users can earn money by put their own data. It can support a big amount of data.Microsoft SQL Server and Oracle DB are use SQL database, but MongoDB is NOSQL Server. Their basic functions are actually similar, but there are still some differences. For example, they have different APIs and other access methods. MongoDB can only use JSON, but Microsoft SQL Server and Oracle DB have more than three access methods. However, MongoDB supports lots of programming languages, and it’s more fast and flexibility.I would use Microsoft SQL server as business applications because it’s highly integrated and supports the whole package of software. Startup companies like catering enterprise just need to pay for it and don’t need to hire lots of IT employees. It will be very convenience to use MS SQL Server.

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