Big data is a term used to describe datasets that are so large and complex that traditional data processing applications are inadequate. Big data challenges include capturing, storing, searching, sharing, analyzing, and visualizing these datasets.
Big data can be characterized by the following 5 Vs:
Big data is used in a wide variety of industries, including healthcare, finance, retail, and manufacturing. Some common examples of big data applications include:
Big data is a powerful tool that can be used to improve businesses and organizations in many ways. However, it is important to have the right tools and expertise to manage and analyze big data effectively.
We get a high flow of applicants, which leads to potentially longer lead times, causing delays in the pipelines which can lead to missing out on good candidates. Alooba supports both speed and quality. The speed to return to candidates gives us a competitive advantage. Alooba provides a higher level of confidence in the people coming through the pipeline with less time spent interviewing unqualified candidates.
Scott Crowe, Canva (Lead Recruiter - Data)