Innovators are rolling out more efficient power-management solutions to meet the explosive demand for artificial intelligence ...

The rise of the big data era pushed companies to store and leverage vast amounts of information. Many found that Hadoop’s promise of cost-effective, large-scale analytics fell short.

During the recent decades, Apache Hadoop and Apache Spark have been the prevailing most powerful frameworks in the age of Big Data analytics. Both Apache Spark and Apache Hadoop have a remarkable ...

The flexibility of Hadoop’s architecture, combined with its ability to run on inexpensive hardware, makes it a cost-effective solution for organizations needing to store and analyze large ...

Big data is about data mining as much as it is about data analytics. Hadoop is an open-source framework that data scientists invariably depend on. Using simple programming models, it can store and ...

Social media data is created in a significant amount and at a tremendous pace. There is a very high volume to store, sort, process, and carefully study the data for making possible decisions. This ...