Big Data

2.Variety

3.Velocity

Veracity-It clarifies whether the available data is coming from a credible source which

is also one of the important factors for Business needs.

2.Social Media-

Data Statics shows that in social sites like Facebook 500+ terabytes of information are

1.Structured

Data which is stored in a fixed format is known as structured data.

In the present scenario big data is used to predict the weather as well as natural disasters. It also affected the computational physics field. With the help of Big Data engineers and scientists are now able to construct/design cars, aero planes and many others vehicles easily and effectively.

Advantages of Big Data-

About 90% of the data is evolved in the past 2 years and the term “Big Data” has emerged near about 2005 which was launched by O’Reilly Media in 2005.But the usage of Big Data was available from the longer times.

It was estimated that the earliest records of data were obtained from 7000 years ago in Mesopotamia, where accounting was introduced to handle the stats of growth of crops and herds.

In the past few years, there are lots are organizations are working to handle big data and many companies are heading towards big Data. Big Data is ahead of us and many more things will change in the upcoming years.(Datafloq.com, 2019)

Present BigData algorithm, Application and Uses-

It uses the relationships between the 2 sets of quantitative measures called independent variable as the first and the dependent as the second.

The major goal of linear regression is to create the relationships among the dependent variable with the independent variable. Once the relationship is formulated, the dependent variable can be predicted for any independent variable.

3-Classification and Regression Trees-

It makes use of decisions to categorize the data. Every decision is based on input variables which is based on a question. For every question with its respective response the instance of data becomes small or closer to categorize in a specific way. This question, its responses and its further subdivisions creates a tree-like structure. At the ending of every question there is a category which is called a leaf node of the classification tree.

In this mechanism every instance is compared to the instances of all the training data sets, so this process can utilize many computing resources every time it is processed.

It not only allows multi values categorization but also noise training data tends to skew classifications.

Once the clusters are identified, it is converted to categories and given them a name which has a business meaning.

Because of its fast mechanism and of its simplicity it is often used. It is to be remembered that K-means clustering is very sensitive to outliers. (Transforming Data with Intelligence, 2019)

1.Health care

Previously the medical industry failed in using Big Data because they do not have the potential to standardize and consolidate data. But with the evolution of Big Data, healthcare has been improved by providing prescriptive analytics and personalized medicines. With the advancing technology and with the evolution of eHealth and mHealth the volumes of information/data is gradually increasing day by day at an alarming rate, which includes like electronic health record, data imaging, sensor data and various forms of data.(Intellipaat Blog, 2019)

Big data helps in providing large amounts of information for millions of individuals. Big

Data applications are boosting media and entertainment by predicting the audience desire, targeting the Ads, for product development and content development, getting insights from customer reviews.

5.Banking Sector-

The data stored in banks are gradually increasing at an alarming rate. Big Data helps to study and analyze many illegal activities like fraud use of credit and debit cards, money laundering ,customer statistics alteration etc. Various software like SAS AML use Data Analytics which is used to detect the fraud transactions and helps to analyze the customer data.

8.Transportation

Big Data regarding transportation is used by Governments, private organizations and also by the individuals.

Sensor data is used by the biotechnology firm to increase the crop efficiency. It data environment fits accordingly to temperature, soil composition and gene sequencing of each plant.

10.SmartPhones-

Datafloq.com. (2019). A Short History Of Big Data. [online] Available at: https://datafloq.com/read/big-data-history/239 [Accessed 21 Jun. 2019].

Transforming Data with Intelligence. (2019). 5 Advanced Analytics Algorithms for Your Big Data Initiatives | Transforming Data with Intelligence. [online] Available at: https://tdwi.org/articles/2018/07/02/adv-all-5-algorithms-for-big-data.aspx [Accessed 21 Jun. 2019].