The following are considered basic

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Big Data: Examples and Directions
This sphere is divided into many directions.

Engineering.
Analytics.
They are related. However, they also have a number of differences. Big Data Engineering specializes in developing a framework, storing and collecting information. Such specialists also make them available for other applications. This direction is suitable for those programmers who do not have much interest in mathematics.

Analytics is an environment for using large volumes of data from ready-made systems that were created by Big Data Engineering. Analysis of large volumes of information involves analyzing patterns and australia email list creating forecasting and data classification systems. This area is aimed at interpreting the results of data processing.

Big Data Analytics is suitable for those programmers who have a good command of higher mathematics, probability theory and mathematical analysis. It is considered more complex and science-intensive. The direction contains advanced calculations. At the same time, Big Data Engineering is aimed at designing and deploying systems on which all necessary calculations will be performed.

Each of the areas has its own characteristics. Before diving into the field of working with big data, you need to choose the most suitable option for you.

Big Data: What is it?
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Big Data Specialist: What Do You Need to Know?