Big Data Architecture

In this paper we will adopt the lambda architecture as defined by marz 10 the lambda architecture is a big data architecture that is designed to satisfy the needs for a.

Big data architecture.

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. By establishing a fixed architecture it can be ensured that a viable solution will be provided for the asked use case. Architects begin by understanding the goals and objectives of the building project and the advantages and limitations of different approaches. The threshold at which organizations enter into the big data realm differs depending on the capabilities of the users and their tools.

Real time processing of big data in motion. Several reference architectures are now being proposed to support the design of big data systems. 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. A big data architect might be tasked with bringing together any or all of the following.

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 solutions typically involve one or more of the following types of workload. Each of which may be tied to its own particular system programming language and set of use cases. Obviously an appropriate big data architecture design will play a fundamental role to meet the big data processing needs.

Human resources data manufacturing data web traffic data financial data customer loyalty data geographically dispersed data etc etc. Batch processing of big data sources at rest. 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. 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.

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. It logically defines how the big data solution will work the core components hardware database software storage used flow of information security and more.