AN INTRODUCTION TO THE DATA ANALYTICS
INTRODUCTION
Nowadays, the data of the user is the most important equipment for the technical industry. The data can be used in many ways for generating a useful output. That is why there is a particular field in the technical industry, which deals with different types of data. This data is of the user. The companies or organizations hire some proficient and skilled people, who can think and can give ideas how the data of the user can be used effectively. These people are known as data scientists. There are processes which are executed step by step for analyzing the raw data. After the analysis of the data, they get some useful information. On the other hand, when the data of the user is collected, it is collected in different forms. It might be in structured form or in unstructured form. The data analytics is also the data but when the data is present in a huge amount, then we call it the data analytics. The methods which were used earlier for storing data are now not able to process and store such a huge amount of data. Some new tools have taken the place of those earlier methods. These new tools are able to process, store, share data in an effective way.
COLLECTION OF THE DATA
When the data is collected from the user, it gets collected in different forms. These different forms are:
Structured data
Unstructured data
Semi structured data
WHAT IS STRUCTURED DATA?
In the structured data, the data is stored and processed in a structured format. The processing and storing of the data in structured form is the same as when we store data in a tabular form or in spreadsheets. For example the data of the employees of a company is stored in a tabular form with different information. This is known as the structured form of the data.
WHAT IS UNSTRUCTURED DATA?
In the unstructured data, the data is stored randomly and not in a structured form. The data is classified as unstructured data when the size of the data is not known. A lot of time is consumed in processing and storing the unstructured data. The example of the unstructured data is emails. This is known as unstructured data.
WHAT IS SEMI STRUCTURED DATA?
The semi structured data is the blend of both, structured as well as unstructured data. The example of the semi structured data is the data which is written in an XML file.
EXAMPLES OF THE DATA ANALYTICS
It has been said that about more than 500 terabytes of the data is stored in the social media databases. Whenever the people upload or share information, video, images anything on the social media, then it gets stored in the database of that particular social media platform. In this way, the new data is generated.
It has been said that more than 10 terabytes of the data is generated and stored for the flights.
There are many examples of data analytics. Data analytics is a very nice career option. If you want to learn more about data analytics, then enroll in Data Analytics Training.
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