Steps to Implement Big Data - How To

Steps to implement Big Data

Steps to Implement Big Data

It is important to consider some steps for the implementation of Big Data, as mentioned below:

• Understand business and data. This first step calls for a detailed analysis with the people who today work and understand the processes and data that the company manages.

• The second step is to determine the problems and how the data can help. At the moment of knowing the processes, it is very possible that the problems of the company or the business are found.

• Establish reasonable expectations, that is, define achievable goals; this can be achieved if the solution of a problem is implemented, it does not show any improvement, and another solution must be found.

• There is a special recommendation, which is that when starting a Big Data project it is necessary to work in parallel with the system that is working today.

• When trying to implement a Big Data project you should be flexible with the methodology and tools; this is because the two previous ones are recent and can present problems when implementing them. This can be solved by researching and investing in this type of technology.

• It is important to keep the Big Data goal in mind; this is because the process is heavy and because it is not tedious, especially when the methods and tools that use Big Data for data analysis can still present problems, and the idea is to stay in the final goal of the project without being discouraged soon.