Without these tools, big data would be impossible to manage. In addition to processing data sets, big data analytics methodologies and tools are involved with data visualization, business forecasting, ...

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 ...

Explore the features, capabilities and benefits of some of the top data analytics tools to determine which is the best fit for your business.

These top data analytics tools and software applications enable deep insight into business data, creating major competitive advantage.

Synopsys EDA Data Analytics (.da) leverages AI-driven analytics to accelerate root-cause analysis and otherwise drive more intelligent decision-making throughout the IC design, test, and ...

Data journalism—newsmaking driven by faster data collection and visualization, traces of which were first witnessed in the US during the 1950s —uses digital tools to simplify data collection.

Part 1 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the data analytics space including Qlik, Salesforce Tableau, SAS and ThoughtSpot.

An updated edition of the July 9, 2025 article. From various sources like online shopping, sensors, social media, videos and more, a massive amount of information is generated daily. These large and ...

Davis wrote that the collection, correlation and analysis of machine data could help organizations address security risks and issues related to information technology operations and missions.

Big Data needs Big Storage. Learn about the top Big Data storage options, from data lakes to scale-out NAS and object storage.