Big Data refers to a vast and diverse collection of structured, unstructured and semi-structured data that inundates ...

Descriptive analytics is the process of analyzing data to find trends and patterns that support decision-making, monitoring, and other initiatives. It's the most fundamental building block of data ...

Big data analytics tools have become indispensable, as they offer the insights necessary for organizations to make informed decisions, understand market trends and drive innovation. These platforms ...

The semiconductor industry has come a long way since integrated circuits (ICs) were designed using a pen and heaps of graph paper. Modern chip architects make heavy use of electronic design automation ...

In modern manufacturing, data has become just as critical as raw materials and skilled labor. From machine sensors and production lines to supply chain and qual ...

Part 1 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the data analytics and business intelligence space. It’s no surprise that in diagrams and visual ...

Predictive analytics is the method of using historical data, AI, and machine learning to predict future outcomes. Organizations can take advantage of predictive analytics by following some best ...

You may find the word "data" in the term "data journalism" redundant. After all, newsmaking of any kind, even the tacky, propaganda-driven type, has always relied heavily on data. Earlier, on-set ...

Kevin Davis, vice president for public sector at Splunk (Nasdaq: SPLK), has said government agencies should implement big data and analytics platforms in an effort to generate insights or œoperational ...

Big Data analytics requirements have forced a huge shift in data storage paradigms, from traditional block- and file-based storage networks to more scalable models like object storage, scale-out NAS ...