Dig Data Integration Outlines - Essay Example

Dig Data Integration Outlines Number: Lecturer: Introduction Big data integration is a new technique that is being adopted by many organizations currently. There are is a need to have strategies and ways in big data integration can be achieved in an organization. This paper will assess a framework which can be used to integrate big data into an organization. The framework that is adopted in the development of big data integration is discussed below: Technology choice: Bulk data integration- entails the retrieval, translation and loading of data from various input sources or databases that are targeted.

Real-time integration- mirroring and low latency data integration- The technology is basically applied when merging databases that are operational. It also supports real-time analysis and reporting. Federation data big data integration technology is where data is left in its original point then federal queries are used to access it.Integration proceduresConversion of big data into analytics which are actionable. It gives a straightforward exploration, access and organization of various sources of data.

It includes relational databases, for actionable and consumable analytics, NoSQL and Hadoop.Delivering data to a broad set of applications- The universal standardization, quality capability and enrichment forward the information to the recipient in appropriate forms and shapes.Integration of existing enterprise data with the sources of big data- the wide linkage high performance and data type speeds p and simplify the integration process. Big data integration tools Advanced, drag and drop design.

Robust library of in-built features.Non-static transformation, with the aid of variables to locate validation, enrichment rules and field mapping.Integrated tuning work execution and testing debugger.Conclusion There are many technologies which have been adopted and made use in the world today (Grove, 2000). The success and failure of the framework will depend on the procedures and processes which have been followed (Martin, & Hoover, 2008). Big data integration has many tools that have been developed in the market and the success and failure of the integration framework that has been chosen will depend on the success and the stability of these tools.

It is important to choose the tools that will help to get the right outcome that is expected (Metaxiotis, & Psarras, 2003). ReferencesGrove, R. F. (2000). Design and development of knowledge-based systems on the web. Ninth International Conference on Intelligence Systems: Artificial Intelligence Applications for the New Millenium (pp. 147-150). KY, USA: Louisville.Martin, R., & Hoover, N. (2008). Guide to knowledge based systems. Information Week Journal , 23 (5), 21-23.Okeefe, R. M., & Rebne, D. (1999). Understanding the applicability of expert systems.

International Journal of Applied Expert Systems , 1 (1), 3-24.