Big Data Analytics for Processing Time Analysis in an IoT-enabled manufacturing Shop Floor

A Fuzzy TOPSIS Approach for Big Data Analytics Platform Selection

Big data sizes are constantly increasing. Big data analytics is where advanced analytic techniques are applied on big data sets. Analytics based on large data samples reveals and leverages business change. The popularity of big data analytics platforms, which are often available as open-source, has not remained unnoticed by big companies. Google uses MapReduce for PageRank and inverted indexes....

Space-Time Big Data: An Analytics Perspective

Recent years have seen the proliferation of space-time datasets whose size, variety, and update rate exceed the capacity of commonly used spatio-temporal computing and database technologies to learn, manage, and process the data with reasonable effort. Examples of such datasets, which we refer to as spacetime big data (STBD), include GPS trajectory data from cell-phones, UAV Data, roadmaps that...

Distributed Processing for Big Data Video Analytics

Using Big Data for Machine Learning Analytics in Manufacturing

Ajit has over 10 years of experience in manufacturing operations and consulting. His functional expertise comprises Industrial Operations, Supply Chain, and Quality and Manufacturing Analytics. He has successfully executed various cost saving, process improvement and business intelligence (BI) projects for leading manufacturing companies. Saurabh has over three years of industry experience in t...

Application of Big Data Analytics in Power Distribution Network

Smart grid enhances optimization in generation, distribution and consumption of the electricity by integrating information and communication technologies into the grid. Today, utilities are moving towards smart grid applications, most common one being deployment of smart meters in advanced metering infrastructure, and the first technical challenge they face is the huge volume of data generated ...