In today’s data landscape, a distributed architecture is driven by the need for real-time insights, compliance, and the scalability provided by cloud computing, with organizations increasingly ...

Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready ...

The data consumers can rely on a single standardized set of data, provided through both streams and tables, to power their operations, analytics, and everything in between. We create the headless ...

The 10 coolest big data tools of 2025 so far include Databricks Lakebase, SAP Business Data Cloud and Snowflake Intelligence.

Consider a dataset extracted from a windmill within an open data architecture. A team of data scientists analyzes the dataset and uses machine learning (ML) tools to perform predictive analytics. At ...

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 ...

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.

Gartner analysts will provide additional analysis on emerging technologies, including gen AI, at the Gartner Data & Analytics Summit, taking place March 11-13, in Orlando, Fla. Image: SiliconANGLE ...

Use big data, AI, and predictive analytics to build intelligent decision support systems. Data Analytics Providers. Many of the largest enterprise IT companies specialize in data analytics.

Specialization: Software Architecture for Big Data; Instructor: Tyson Gern and Mike Barinek; Prior knowledge needed: Software engineering or big data experience View on Coursera Learning Outcomes ...