MPP (massively parallel processing) is the coordinated processing of a program by multiple processor s that work on different parts of the program, with each processor using its own operating system and memory . Typically, MPP processors communicate using some messaging interface. In some implementations, up to 200 or more processors can work on the same application. An "interconnect" arrangement of data paths allows messages to be sent between processors. Typically, the setup for MPP is more complicated, requiring thought about how to partition a common database among processors and how to assign work among the processors. An MPP system is also known as a "loosely coupled" or "shared nothing" system.
A relational database management system (RDBMS) is a collection of programs and capabilities that enable IT teams and others to create, update, administer and otherwise interact with a relational database. Most commercial RDBMSes use Structured Query Language (SQL) to access the database, although SQL was invented after the initial development of the relational model and is not necessary for its use.
Today, fintech companies directly compete with banks in most areas of the financial sector to sell financial services and solutions to customers. Mostly due to regulatory reasons and their internal strucutres, banks still struggle to keep up with fintech startups in terms of innovation speed. Fintechs have realized early that financial services of all kinds – including money transfer, lending, investing, payments, ... – need to seamlessly integrate in the lives of the tech-savvy and sophisitcated customers of today to stay relevant in a world where business and private life become increasingly digitalized.
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