IDC’s Digital Innovation Predictions: New Spins on Old Capabilities
Those driving the most success will be able to handle data and implement technologies that drive value for customers first and foremost.
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
Those driving the most success will be able to handle data and implement technologies that drive value for customers first and foremost.
With StreamSets, data engineers can design reusable intelligent mainframe data pipelines that transform the data in motion while identifying and adapting to …
An essential element in making business decisions today is how to make transactional and operational mainframe data more easily available for reporting and …
Predictive maintenance can help your operations flow smoothly, prevent costly downtime, and maintain your equipment. Read on to utilize this
Businesses should optimize their cloud architectures to deliver the continuous analytics that are fundamental to ongoing operational efficiency and commercial …
In this week's real-time analytics news: NVIDIA offers an HPC platform that combines edge computing and
To provide the real-time experiences that users crave today, companies need to implement an event-driven architecture (EDA) system.
ODSC brought renewed attention to the need for operationalized data processes when using advanced analytics, machine learning, or artificial intelligence.
Uber's new ad processing system was built with open-source technologies and an innovative exactly-once semantic system for accuracy and
Tinybird’s Alejandro (Alex) Martín Valledor talks about the challenges of building real-time products, technologies that can help, and the benefits …