What is big data Hadoop?
Big data refers to large sets of complex data collected in real time from different data sources. The volume of data is large, making it difficult to process using traditional data processing software. Hadoop is an open-source framework designed to store and analyse various types of data. It handles structured, semi-structured and unstructured data.
The use of Hadoop makes it easy to work with big data. It makes the process of data storage and management economical and scalable for organisations to implement. Hadoop is an ecosystem of libraries. It does not depend on the hardware to produce results, but each of its libraries performs a specific task to deliver answer queries. Its design can be scaled from one server to thousands of machines because of its horizontal scaling algorithm.
Characteristics: 5 Vs of big data
Learning about the characteristics of big data may help understand its concept better. These characteristics have evolved with big data itself. The five main traits of big data are:
- volume: the amount of data generated is extensive
- velocity: a continuous flow of data at massive rates
- variety: structured, semi-structured and unstructured data collected simultaneously from heterogeneous sources
- value: evaluating the use of the bulk of data collected for business
- veracity: data collected from disparate sources checked for its accuracy and quality
Apache Hadoop is an open source framework that is used to efficiently store and process large datasets ranging in size from gigabytes to petabytes of data. Instead of using one large computer to store and process the data, Hadoop allows clustering multiple computers to analyze massive datasets in parallel more quickly.Get Big Data and Hadoop certificate from The Digital Adda which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.
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