**8. Conclusion and recommendations on the cotton and textile industry in SSA**

Apparel manufacturing is particularly labour-intensive, with minimal start-up costs and readily transferable technologies. As a result, several nations with low labour costs, particularly in South and East Asia, have gained significant market share in the recent four decades.

Main policy recommendations for LIC governments, industry associations and clothing firms can be summarized as follows:


### **8.1 Big data analytics framework model for oilseeds and textile production in SSA**

From the concept of a Big Data strategy to the technical tools and capabilities that a company should have, there's a lot to consider. The following are the key advantages of using a Big Data framework:


The Big Data Framework's Structure.

When establishing a Big Data organization, organizations should consider the Big Data framework, which is a structured approach that comprises of six basic

*A Big Data Analytics Architecture Framework for the Production and International Trade… DOI: http://dx.doi.org/10.5772/intechopen.107225*

### **Figure 11.**

*Big data analytics framework model for oilseeds and textile production.*

capabilities. The following is a diagram of the Big Data Framework shown on **Figure 11**. The Hadoop Architecture layout is shown on **Figure 12**.

When establishing a Big Data organization, organizations should consider the Big Data framework, which is a structured approach that comprises of six basic capabilities. It's a people business when it comes to big data. Even with the world's most modern computers and processors, businesses will fail if they lack the necessary knowledge and skills. As a result, the Big Data Framework strives to broaden the expertise of everybody interested in Big Data. The modular method, as well as the supporting certification scheme, attempts to create Big Data knowledge in a similar

**Figure 12.** *Hadoop's architecture.*

organized manner. The Big Data framework is a comprehensive approach to Big Data. It examines the numerous elements that businesses should consider when establishing a Big Data company. Every component of the framework is as important, and organizations can only progress if they give all components of the Big Data framework similar attention and effort.
