What is Big Data?

Big Data has become the buzzword over the past few years. Do you know why this word has become a buzzword? Why big data becomes more popular? Are you curious to get answers to all these questions? Read the complete article to get answers to all those questions

Before talking about this buzzword, let us initially discuss,

What is Data?

The Quantities, character (or) symbols on which operations the computer can perform the operations is known as Data. In computer, data gets stored, transmitted in the form of electrical signals and gets recorded on  magenetic, optimal, mechanical recording media.

So now let us move on to the actual topic

What is Big Data?

Big Data is the term which describes the huge volume of data. This huge volume of data includes both structured as well as unstructured data. In organization these volumes of data get generated on day to day basis through various sources. Moreover, organizations does not require this entire data. This is because this data may contain the reduntant as well the useless data. So the organizations segregate all these data into useful information as per their needs.

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In other words, this big data is also refer to the fast, larger (or) complex data that is impossible to process with the traditional methods. Even though the process of storing the large amount of information is happening from the long time, the concept of big data came into existence due to 3V’s in early 2000. These 3V’s  refer as follows:

Volume:

 Organization gets the data from various sources. In some cases, the data can be in terms of tens of terabytes. And in somecases it might be in terms of hundreds of petabytes. This includes business transactions, small IOT devices, industrial equipment, videos, social media, and so on. But, storage has become the most common problem in the previous decade, but today with the emergence of storage platform like Hadoop have eased this problem. Here the size of data plays a major role in determining the cost of data analysis. On the basis of volume, we can say that this volume is big data (or) not. Hence we can say volume is one of the most important characteristic in dealing with big data.

Velocity:

It refers to the rate with which the data is received and perhaps acted upon. Normally biggest velocity of data steams directly to be memory rather than being written on the disk. Moreover, some internet-enabled smart products operate in real time(or) near real-time and require a real-time evaluation as well as action. Moreover, this big data deals with the speed at which the data flows from different sources. These different sources includes business process, application logic, networks, social media sites, mobile devices and so on. Here the data flow is massive and continuous.

Variety:

Data in the Big data gets generated from multiple sources in various formats. Here the data formats can be as follows:

Types of Big Data:

  • Structured:

Any data that can be stored, accessed, and processed in the form of fixed-format is known as Structured data. Over a period of time,  the talent in the computer science has achieved great success in developing the techniques to work with such kind of data. But today there are some spacing issues in dealing with huge amounts of data( i.e data in the form of multiple zeta bytes).

  • Unstructured:

Any data with unknown form (or) structure is known as unstructured data. Other than dealing with the huge amount of data, unstructured data poses multiple challenges in its processing for deriving the value of it. In other words, an  unstructured data is the heterogenous data source. This data source contains a combination of simple text files, images as well as videos.  Moreover, the unstructured data may also includes log files, transaction history file and so on. In some organization even though the data is present in large amounts, they were not in a position to derive results. This is due to presence of data in irregular format.

  • Semi- Structured:

A semi structuted data contains data in both the forms. Moreover, we can say that the semi strcuted data as structured form of data but not actually defined. For instance, the table definition in the Relational Data base management Systems (RDBMS).

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How Big Data works?

Big data provides the way to open up the new opportunities and business models. This involves three phases as follows:

a)Integrate:

Big data is responsible to bring the data from different sources and applications.  Traditional data integration mechanisms such as ETL generally were not up to the mark. And it requires new strategies and technologies to analyze big data sets in terms of terabytes (or) the petabytes of data. Moreover, during the integration, the analyst is responsible to bring the data in a single format before the data analysis starts

b)Manage:

As mentioned above, big data contains data in large volume. Hence the big data contains a large volumes of storage. And this storage can be on local (or) on-premises (or) on both. Moreover, through big data you are responsible to store any amount of data in any format as per the demand. Most of the people choose their storage solution according to the data currently residing. According to the recent stats, cloud is gradually popularity as they the flexible to scale the resources as per the requirement

c)Analyze:

Through big data,people can get the best analysis of the business. Moreover, people do get the visual data analysis of varied data analysis.Besides you can explore the data to make the new discoveries

Benefits :

Processing the big data includes multiple benefits as follows:

a)Intelligence utilization and decision making:

 Access to social media sites like facebook and twitter are enabling organization to fine tune their business strategies

b)Improved Customer Service:

Traditional customer feedback systems were replaced by new systems designed with these  technologies. Moreover, in these new systems big data and natural processing technologies are being used to read and evaluate the customer responses. Moreovoer, this technologies are responsible for the creation of staging area (or) landing the zone for new data.

Hence likewise, there are many use cases of big data. And you people can get hands-on experience on big data from live experts through online at Big Data online course.  I hope you people have got an enough idea regarding on big data. In my next article of this blog ill be sharing the knowledge on big data applications in  real world.Mean while have a glance at our Big data interview questions and grab the job in your dream firm