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 ...

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 ...

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 ...

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 ...

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.

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 ...

The hottest big data startups in 2024 ... Goyal launched DataPelago in 2021 and assembled a “multi-disciplinary team” of people with expertise in system architecture, 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 ...

Taking immediate action on sensor data is vital in modern Internet of Things (IoT) systems. Real-time streaming serves as the fundamental structure of IoT analytics because it enables automated ...

Thermal throttling destroys model training performance but only three laptop brands solved this critical engineering problem ...