Big Data - Concept - Characteristics

Concept of Big Data:

Big Data means large collections of data. Big data is one of the latest technology . Earlier to this concept , mostly preferred technology is Data,  which is a traditional database.

In 1970, William Ford who designed this concept to overall database and Revolutionary Database management. Here data is stored in a structural form. The data which stored in Revolutionary Database Management system is mostly in structured form i.e, in tables . But in recent days mostly 90% of people prefer for unstructured data like in photos, videos, blogs, etc, where in videos we can find  videos only, in photos we can find photos only so the data will be in unstructured form with a huge varieties. Comparing the Big data with data, the data will be small so it named as Small Data and been said that earlier people use to follow Small Data but now era has been changed so far the technology as well as with the people too and now it’s a trend of Big Data.

What is Big Data ?

Before we learn about Big Data let us learn about what is data. Data is a collection of information. e.g., to know about some topic we collect information such as  if people are reading this blog or this blog related videos means they are collecting information about Big data. In Instagram if people post a picture i.e, also called as data or  guys if you share some images in Facebook that will also be called as data. So anything, digitally happens or digitally written i.e., known as Data. We have number of varieties  of Data. Simple kind of data that we can say as a video. Now lots of volume of Data if we mix i.e.,  called as Big Data. Big Data is nothing but large amount of complex data is simply said as Big Data.

What we do in Big Data?

Huge companies use process in this. My blog is simply a data, whereas the number of data used to be processed and the required information is filtered  for any purpose, so through this process company starts making benefit of this and use it in decision making.

Now we may ask How company uses Big Data in Decision Making ?

 People may heard that facebook leaks its data like in elections , people win through this Facebook website data how is it possible because in Big Data number of peoples Data is existed and through the Facebook we come to know the people’s  interest and sometimes shows that interest could also be changed. So whatever through this website tricks people usually wins elections . Moreover sometimes big companies had an urge of a printer yet the company not purchased any printers but still the printers are shown to the company so why is this happens means recollecting large amount of your company data, the needed data would be shown digitally through this way. In this way Big Data is used and processed.

We may not sample  but simply observe and track what happens. Big Data means a vast collection of Data , by  using this data company incurs the profit and also may use in Decision Making. As the previous years stored data of a  company is been collected and company usually checks which year  profits got maximized  and in which year they incur losses, what will be their decision when company earns profits, so all this based on analyzing which action should they take and which action they should not  , so that a company incurs  maximum profit. So what we can see here a Data how actually helps in Decision Making.

Usually , In Big Data a useful Data which we refine is known as processing and number of techniques we have like Data mining, Data Visualization,  Analysis, Search, Sharing, Querrying, Updating, Information privacy and Data source.

Types of Big Data:

•        Structured Data
•     Unstructured Data
•      Semi Structured Data

Structured Data:

Structured Data is in a standard form. Everything will visible clearly  e.g., under name column the name would be mentioned, under the age column the age would be mentioned. Its just like in a tabular form. So no need of any hardwork here because  the Data is simply clear.

Unstructured Data:

Here Data is not clear, like we can see videos, audios, images, emails, all these are in unstructured pattern. No particular format is used and from this data we need to be refined. So this type of Data is called Unstructured Data.

Semistructured Data:

Structured Data + Unstructured Data = Semi Structured Data

In this different varieties of data are there the data may be like structured data and also in unstructured form like CSV file.

Characteristics of Big Data:

Big Data originally associated with three key concepts which is also known as 3V’s:

• Variety
• Velocity
• Volume

Variety:

In Big Data all kinds of varieties are available its not like any videos are available or any images are available but all types of data is available such as videos, audios, written content, text, Email, PDF, Excel, approximately all varieties of Data is available over here. Big Data represents varieties of Data.

Velocity:

In which rate of speed the Data is being processed like people upload Data or Retrieve Data how fast will be the processing time to take for all these steps.

Volume :

Volume means a large amount of data, means thousands/lakhs GB of Data then it is known as Big Data.

Therefore Big Data often includes Data with sizes that exceed capacity of traditional software to process within an acceptable terms. Current usage of this term i.e,  Big Data tends to refer use of Predictive Analysis or certain other advanced Data Analysis.