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Characteristics Of Big Data

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INTRODUCTION

Big data is described as complex data collections that has very large size beyond the capability of traditional tools to capture, manage and process it efficiently. It is also use in many ways where it usually refers to both of data that being managed and used to store and process it by the technology which it helps to deduce different types of results using the same data that being stored intentionally or unintentionally.

There are three characteristics of big data which are volume, velocity and variety. When it comes to volume, the name of big data itself indicates that it is related to its enormous size. Nowadays, data is being produced by networks, machine as well as system such as social media which this is use by human …show more content…
As variety refers to numerous of sources and data can be in any types which are structured also known as traditional data like date, amount and time and unstructured such as email, video, and audio. When the user could store the data by picking out which tools are appropriate in order to convert into the desired form and stored data.

CHALLENGES OF BIG DATA

Big Data associated with various of business opportunities which also poses of numerous challenges which are:

• COST MANAGEMENT

• SCALABILITY

• SECURITY AND PRIVACY

Any big data store sensitive information such as email addresses, credit card numbers, and passwords. Nowadays, data theft is increasing and as the data is getting bigger hence the bigger opportunities for hackers to hack as well. Due to this growing crime, all organizations have to ensure the customers and their personal data are safe from either external or internal threats because they could be sued by expensive lawsuits or do time in prison if they fail to obey with data protection …show more content…
An organization has to embrace important proactive measures in supply chain that involved in predicting product fulfillment needs, assessing inventory levels, and recognize potential backlog challenges.

• PREVENTING DIRTY DATA

Before dirty data becomes huge, an organization can always prevent it by taking proper preparations. However, it can be overcome by updating the systems so that an organization could manage big amount of data collection and analysis during the data cleaning process. It will also go through precisely and identifying if there are incorrect or absent values that could damage the data accuracy. The organization could also use data scrubbing which is more likely thorough data cleaning by using the right technology that involving filtering, decoding, and translating in the

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