Data blending is a recently developed approach used mainly by those working in big data analytics. It's a method of integrating data from different sources into a single structure. Blending offers a relatively fast and straightforward way to access several disparate data sources and identify correlations between them without the trouble and costs of conventional data integration.
Usually, the generation of a result is influenced by many factors in a specific environment. The data collection of factors and results is the basis of analysis.
We are using cookies to provide statistics that help us to improve your experience of our site. You can choose to use the site without cookies. However, by continuing to use the site without changing your settings, you are agreeing to our use of cookies.
Complete your membership listing and tell others about your interests, experience and qualifications with a Personal Profile page.
Your Personal Profile page is missing information about your experience and qualifications that other members would find interesting. Click here to update.
Login to your membership account to view your personalised news feed, update your profile, manage your preferences. publish articles and to create a following.
If you are not a member but work with or have an interest in Data Science, Machine Learning and Artificial Intelligence, join us today.
Support the work of the Data Science Foundation
Help to fund our work and enable us to provide free communications and knowledge sharing services to members across the globe.
Muhammad Haroon
22 Jun 2021 03:13:16 PM