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Technology has truly been a blessing. Technology plays a very crucial role in revolutionizing the entire world. If we compare the world which existed 50 years ago with today, we can say there exist no similarities. Technological advancement has to be changed everything around us, and we are completely dependent on the usage of technological gadgets for our survival. Technology has made a great impact on our lives after its arrival. The Bengal of Technology used to make human life more efficient and effortless. And after seeing the present scenario, we can see that Technology has served its purpose.

The biggest impact of technological advancement could be seen in industries and organizations. Technology provided modern methods of management that have successfully replaced the conventional method of management—even organizations of a wholeheartedly accepted technology company with a lot of advantages. Technology plays a leading hand when it comes to digitalization of the world. 

What is Data?

The simplest definition of data is basically recorded media. But it will look into details we see that it is much more than just recorded media. Different types of operations, including quantities, different symbols, certain calculations, and a lot more stuff which is performed with the help of a computer, can be called data. Data is basically the digital form of all the paperwork that used to happen in organizations decades ago. Organizations Store and transmit data in the form of electrical signals. There are various ways in which data can be recorded. They are through the magnetic, optical, and mechanical forms of recorded media. 

What is Big Data?

When we hear the term big data, we often think that it is a large amount of data. And it is absolutely nothing wrong to call it a big amount of data. Big it is basically used quantity of data that is stored with any organization. Every organization produces a large amount of data and information every single day. These data pile up to form big data. The only difference between data and big data is the quantity. Also, another difference between data and big data comes in their handling. 

Managing data is comparatively much easier than managing big data. Both of them require separate tools for their management. Big data has different types, and each of them has its own characteristics. 

Types of Big Data

If you take a look at the type of big data, we see that there are three types of big data. These three types are known as structured big data, big unstructured data, and semi-structured big data. All three types have their unique characteristics, and they need to be managed efficiently. Structured data is basically considered to be the final form. It is processed extremely precisely and has been arranged, keeping a particular format or structure in respect. The study of structured data is comparatively much easy compared to other forms of big data.

Unstructured big data can also be called as row data as it has not been processed and organized. A collection of numerous data can also be called as big unstructured data. The study of big unstructured data is extremely tough as a proper arrangement is clearly missing. Data, which is neither on the structure or proper structure, is called semi-structured data. Semi-structured data is basically the data which is halfway under the process to be structured. The study of semi-structured data is comparatively easy than unstructured data. 

Certifications in Big Data

Tools that are used by organizations to manage data are not efficient in managing big data. Management of big data can be extremely complicated, and organizations for having a professional who has the ability to manage big data. There are different certifications that are given out of professionals who have the knowledge and skills to work as a big data professional for a different organization. Big data has created a great employment portal for professionals as they can work as big data engineers, big data scientists, and big data analysts.

One of the most beneficial certifications in the field of big data is the big data Hadoop certification and Apache Spark developer certification. These two-certification provider certificate holder with the great functional value in the organization and train them with the best skills to enhance their big data career. Choosing the right training program for the certification is extremely important as it can decide the quality of skills and knowledge the professional would have for the rest of his career. 

These two certifications are extremely beneficial for the professional and organization as they provide a great functional value. Professionals also prefer to have any one of these certifications in comparison to other certifications because it brings them a lot of advantages throughout their careers.