Analyzing large volumes of data is only part of what makes big data analytics different from traditional data analytics Topics Spotlight: AI-ready data centers ...

SAN JOSE, Calif., November 19, 2013 – VSS Monitoring, a leading provider of network packet brokers (NPBs), today launched the Big Data Visibility solution, a system that closes the visibility ...

Big Data: Extremely large data sets that require advanced techniques for capture, storage, analysis and visualisation. Predictive Modelling: A statistical method that utilises historical data to ...

Supply chain management is a field where Big Data and analytics have obvious applications. Until recently, however, businesses have been less quick to implement big data analytics in supply chain ...

Individuals who want to improve the performance of their organization by harnessing Big Data. • Professionals who want to leverage data for better decision-making. • Entrepreneurs with projects that ...

Advanced analytics: It’s not enough to collect and process industrial Big Data—there also needs to be capabilities in place to analyze and interpret the data, potentially in near-real-time, to drive ...

In this piece, we will take a look at the top 15 big data analytics companies of 2023. If you want to skip our industry introduction, then take a look at the Top 5 Big Data Analytics Companies of ...

Data analytics platform developer Datameer has created a departmental version of its Hadoop-based software that will be delivered through the cloud. The new offering is targeted at line-of ...

Most industrial companies began collecting data for specific production improvement initiatives within the past five years. The top 3 business drivers for data collection and analysis are: improvement ...