WHY BIG DATA AND HADOOP COURSE

   2020-08-21       18        Agriculture
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Organizations and businesses are steadily moving towards using Data Analysis as the method to deal with large amounts of data.

Why Big Data and Hadoop Course: Organizations and businesses are steadily moving towards using Data Analysis as the method to deal with large amounts of data. There has been an enormous increase in the amount of data that is generates in a single day. It is astonishing to know how much this data and the information that this data provides influence strategic business decisions. It is near that 2.5 quintillion bytes of data are generates all over the world in a single day. Research has shown that this number is set to rise exponentially in the coming years. As the amount of data that organizations must deal with daily is so huge, the equipment to process and analyze this data should also be equally powerful.

Data Production Increases the need for Equipment

As the amount of data production increases and the need for specific equipment that can handle this data becomes essential, businesses are looking for professionals who have the qualification to handle such data. These days, businesses are known to make important and strategic decisions based on the actionable and meaningful insights that are provides by deciphering raw data and finally processing it by reaching useful conclusions.

Why is Hadoop an important part of dealing with Big Data?

Traditionally used equipment and software which has been designed to deal with a small amount of data are not efficient enough to deal with and process big data. To keep up with the requirements of the day,  frameworks used to handle big data should be efficient and powerful. The data is difficult to handle and without great processing power and efficiency, big data cannot be decoded and analyzed. The need for faster parallel processing software and distributed storage has led to the widespread use of the Hadoop framework. Hadoop by Apache is a great framework that provides a much-needed processing power. By using Hadoop, dealing with, and managing a huge volume of data is make easier. Hadoop is use by most professionals who are in this field and have the need to handle big data. It is a major framework solution that makes the whole process of analyzing data easier.

Reletionship Between Big Data And Hadoop Framework

In very simple terms, the relationship between Big Data and Hadoop framework can be viewed as a question and answer. The problem is depictes by the Big Data problems and the answer is found in the Hadoop framework, which provides the solution for all Big Data problems. By using Hadoop, data can easily be organizes, structured, understood, and finally uses in ways that are in the best interests of organization. Gartner has publishes a data report which shows that approximately 26% of Data Analysts prefer to use the Hadoop framework.

What makes Hadoop unique ?

For these analysts, the Hadoop framework makes completing their day-to-day tasks much more efficient. All the statistics and user accounts about Hadoop make it a great skill to acquire. For a professional who would like to work in this industry, learning and understanding at least the basic working of this framework is essential. What makes Hado"

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