Big Data Architecture

Big data is handled by a big data architect which is a very specialized position a big data architect is required to solve problems that are quite big by analyzing the data using hadoop which is a data technology.

Big data architecture.

Human resources data manufacturing data web traffic data financial data customer loyalty data geographically dispersed data etc etc. A big data architect is required to handle database on a large scale and analyse the data in order to make the right business decision. By establishing a fixed architecture it can be ensured that a viable solution will be provided for the asked use case. The big data reference architecture is shown in figure 1 and represents a big data system composed of five logical functional components or roles connected by interoperability interfaces i e.

Big data architecture is the logical and or physical layout structure of how big data will stored accessed and managed within a big data or it environment. Big data architecture is the foundation for big data analytics think of big data architecture as an architectural blueprint of a large campus or office building. It logically defines how the big data solution will work the core components hardware database software storage used flow of information security and more. A big data architecture is designed to handle the ingestion processing and analysis of data that is too large or complex for traditional database systems.

The threshold at which organizations enter into the big data realm differs depending on the capabilities of the users and their tools. Each of which may be tied to its own particular system programming language and set of use cases. A big data architect might be tasked with bringing together any or all of the following. Several reference architectures are now being proposed to support the design of big data systems.

The nist big data reference architecture is a vendor neutral approach and can be used by any organization that aims to develop a big data architecture. Big data solutions typically involve one or more of the following types of workload. Thus there becomes a need to make use of different big data architecture as the combination of various technologies will result in the resultant use case being achieved. Real time processing of big data in motion.

Architects begin by understanding the goals and objectives of the building project and the advantages and limitations of different approaches. A big data architecture is designed to handle the ingestion processing and analysis of data that is too large or complex for traditional database systems.