Big Data - Explained
What is Big Data?
- Marketing, Advertising, Sales & PR
- Accounting, Taxation, and Reporting
- Professionalism & Career Development
Law, Transactions, & Risk Management
Government, Legal System, Administrative Law, & Constitutional Law Legal Disputes - Civil & Criminal Law Agency Law HR, Employment, Labor, & Discrimination Business Entities, Corporate Governance & Ownership Business Transactions, Antitrust, & Securities Law Real Estate, Personal, & Intellectual Property Commercial Law: Contract, Payments, Security Interests, & Bankruptcy Consumer Protection Insurance & Risk Management Immigration Law Environmental Protection Law Inheritance, Estates, and Trusts
- Business Management & Operations
- Economics, Finance, & Analytics
Table of ContentsWhat is Big Data?How does Big Data Work? Challenges of Using Big DataAcademics Research on Big Data
What is Big Data?
Big data is a term often used when there is an enormous data set that is beyond the scope of traditional mining techniques or human handlings. Also, big data describes the presence of a large volume of data (either structured data and unstructured data), the volume of the data becomes so massive that traditional techniques are no longer valid. Big data also refers to a situation where data are created and collected from several sources at the speed of light. The data become so voluminous that they cannot be analyzed by humans or computed used traditional mining techniques.
How does Big Data Work?
More extensively, big data is a field that offers a solution to the computation and analysis of data that are too large to be handled by traditional techniques and human analysts. Big data is related to the creation, extraction, and collation of a set of information or data from multiple sources in a very fast manner. Big data are large data and are often associated with large businesses or companies with a large scope of business. Big data is a field that provides an opportunity for companies with massive data to carry out an effective collation and analysis of the data. Since data can be collected through different means, big data ensures an easy assemblage of data as well as their analysis.
Challenges of Using Big Data
Despite that there are many advantages of using big data, it comes with some challenges, the common challenges associated with big data are;
- Big data can lead to overwork because it entails sorting out relevant data from the irrelevant ones.
- Determining what data is relevant or not is also a difficult process as some r3levant data can be omitted.
- Big data contains both structured and unstructured data, the sorting and analysis process is often cumbersome.
- Handling large volumes of data can also create noise.