Characteristics Of Big Data

Big data refer to massive data sets that have large and complex structure which is difficult to store, analyze and visualize for processing and results. The research for large amounts of data to reveal hidden patterns is known as Big Data Analytics (BDA). Big data is used to gain deeper insights and competitive advantage.

Big data refer to two conditions, the technological challenge which is about dealing with data intensive domains such as high energy physics, astronomy or internet search. The second condition is dealing with social problems with the main focus being on cultural and environmental factors, when data about people is collected and obtained by organizations such as Facebook, Twitter, Google to mention a few. Privacy is impacted

Volume refers to the size of the data. The size itself plays an important role in determining value out of the data. Volume determines whether data can be classified as big data or not, therefore volume is one characteristic that needs to be taken into consideration when dealing with big data. Variety refers to the diverse sources of data and the nature of data. Data refers to forms of emails, photos, videos, etc. Velocity is about the speed when it comes to generating data. The amount of speed to generate processed data reveals the value of data. Variability determines how consistent data can be at times. This relates to the ability to the ability to handle and manage data in such a manner to achieve desired results. Big data is a huge opportunity for media companies but they do not realize this as they are still far from realizing the maximum benefits of big data strategy. In order for companies to gain maximum benefits of the big data strategy they need to invest in technology and training in order to grip the investment. With the wisdom gained they need to improve processes like customer services as well as products. Some of the benefits for using big data strategy include faster decision making, execution of decisions as intended, improved financial performance and effective use of data for decision making. With the use of big data strategies companies engage with more people through news and

They also produce large amounts of data in the form of videos, photos, graphics and text. According to Mary Meeker’s annual internet trends report, published in May 2014 the data represents 70% of internets data storing and sharing. The digital universe keeps growing rapidly and in years to come more percentage growth will reflect. Big data from media companies to the internet universe shows massive data point’s contribution. The data points keep growing every day through daily number of tweets, number of videos uploaded, numbers of Facebook posts, etc. Collecting and producing data are the basis of big data practice. Analysing and making data actionable is very important for media companies. The need for big data strategies and implementation is due to prices for digital storage and bandwidth, the explosion of digital devices and the growth of