Graph analytics, which is an analytics alternative that uses an abstraction called a graph model. The simplicity of this model allows for rapidly absorbing and connecting large volumes of data from many sources in ways that finesse limitations of the source structures (or lack thereof, of course). Graph analytics is an alternative to the traditional data warehouse model as a framework for absorbing both structured and unstructured data from various sources to enable analysts to probe the data in an undirected manner.
Big data analytics systems should enable a platform that can support different analytics techniques that can be adapted in ways that help solve a variety of challenging problems. This suggests that these systems are high performance, elastic distributed data environments that enable the use of creative algorithms to exploit variant modes of data management in ways that differ from the traditional batch-oriented approach of traditional approaches to data warehousing.
Request you all to share your valuable suggestions....
Sureshkumar Sundaram
17 Apr 2020 01:56:14 AM
Nice Explanation with good content.Big data is an important concepts of recent development. All the concepts are clearly explained. Thanks for your valuable article.
Abhishek Mishra
19 Apr 2020 05:46:18 PM
The graph model allows you to tightly couple the meaning of entity relationships as part of the representation of the relationship. - Simpler the better
Sureshkumar Sundaram
23 Apr 2020 03:49:06 PM
Graph Analytics and Big Data- kindly post some other articles of Big data domain.
Thank you
Balakrishnan Subramanian
27 Apr 2020 01:28:11 PM
Big data analytics is the often complex process of examining large and varied data sets, or big data, to uncover information -- such as hidden patterns, unknown correlations, market trends and customer preferences -- that can help organizations make informed business decisions.
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.
Ajit Singh
02 May 2019 10:16:05 AM