No Pains No Gains : Distributed Database Solutions

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NO PAINS NO GAINS: DISTRIBUTED DATABASE SOLUTIONS CSC 633 RAJEEV SAGAR REDDY MERUGU. INTRODUCTION: Database management has undergone more than four decades of evolution producing vast range of research and extensive array of technology solutions. The database research community and software industry has responded to numerous challenges resulting from changes in user requirements and opportunities presented by hardware advances. The relational database approach as represented by SQL databases has been particularly successful and one of the most durable paradigms in computing. Most recent database challenges include internet-scale databases – databases that manage hundreds of millions of users and cloud databases that use novel techniques…show more content…
RDBMS stores the data in the form of tables and can be retrieved from the tables with the help of SQL Language. SQL was invented only after the invention of RDBMS. SQL – Sequential Query Language. Most common RDBMS’s are My SQL, DB2, Oracle, and Microsoft SQL. The reason for using RDBMS rather than a DBMS is that DBMS stores data in the form of Files whereas RDBMS stores data in the form of Tables containing rows and columns and there exists a primary key relationship such that the data stored in multiple tables can be retrieved using SQL. As RDBMS is a relational database model, the data is stored in the tables in the form of relations. RDBMS supports Distributed database and is designed to handle large amounts of data. Database research and associated standardization activities have successfully guided the development of database technology over the last four decades and SQL relational databases remain the dominant database technology today. This effort to innovate relational databases to address the needs of new applications is continuing today. Recent examples of database innovation include the development of streaming SQL technology that is 170 George Feuerlicht used to process rapidly flowing data (“data in flight”) minimizing latency in Web 2.0 applications, and database appliances that simplify DBMS deployment on cloud computing platforms. It is also evident from the above discussion that the relational

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