What is Bigdata?
Big data is a large and complex data set, that exceeds the traditional ability of data management systems in terms of processing. It is often characterized by the “5 Vs”:
- Volume: With the large volume of data obtained from many streams, including social media, sensors, and transactions,.
- Velocity: The high speed designed for data generation, processing, and analysis most times works in near Real-time, or Real-time.
- Variety: With the variety in data types and formats from structured, semi-structured, and unstructured data.
- Veracity: The type of the data and its reliability are the key factors, which include noise, biases, and data accuracy of data.
- Value: The possibility of teasing out relevant and useful insights from big data through their analysis to generate and make strategic decisions.
What does data engineering mean in the context of big data?
Data engineering is the domain that formulates, designs and implements systems and pipelines that can efficiently converge, divide, and map out vast quantities of data. In this article, we will learn about data engineering in the context of big data.