Huge amounts of educational data are being produced, and a common challenge that many organizations confront, is finding an effective method to harness analyze this for continuously delivering enhanced education. Nowadays, the evolving has become large in volume, wide variety high velocity. This produced needs be handled efficient manner extract value make informed decisions. For that, paper co...

Why similarity analytics? Similarity analytics are the best analysis tool for discovery of insights from big data. The value is in getting the data to tell you things you didn't know. This is a challenge best solved by looking for connections in the data. You just can't do this discovery with the standard analytics that come with a data warehouse. And doing this type of discovery over large dat...

SAS Visual Analytics Explorer is an advanced data visualization and exploratory data analysis application that is a component of the SAS Visual Analytics solution. It excels at handling big data problems like the VAST challenge. With a wide range of visual analytics features and the ability to scale to massive datasets, SAS Visual Analytics Explorer enables analysts to find patterns and relatio...

A data analytics flow typically operates on three layers: ingestion, analytics, and storage, each of which is provided by a data-intensive system. These systems are often available as cloud managed services, enabling the users to have painfree deployment of data analytics flow applications such as click-stream analytics. Despite straightforward orchestration, elasticity management of the flows ...