Architectural Elements for Streaming Edge Data Analysis
Working with streaming edge data requires a solution with multiple elements to ingest, store, and perform real-time stream analysis.
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
Working with streaming edge data requires a solution with multiple elements to ingest, store, and perform real-time stream analysis.
A combination of ex-programmers, mathematicians, and technology specialists make for the ultimate collection of data scientists for organizations looking to …
As more equipment is connected, the large amount interconnected data allows for unprecedented levels of analysis and identification of potentially complex root …
To work with streaming edge data requires a modern data architecture built on next-generation databases, data pipelines, and streaming data
Organizations need a data analytics platform and data analytics tools that assist throughout the entire journey from data ingestion to insights.
In this week's real-time analytics news: Accenture and Google Cloud expand their work focused on bringing cloud-based data analytics and AI to
Real-time monitoring and analytics provide tangible metrics to structure ESG programs around report results.
The edge analytics market is set to explode as more industries adopt edge technologies to experience key benefits in multiple operational
In this week's real-time analytics news: A large number of partnerships and collaborations were announced, dominating the week’s offerings.
Digital twins help organizations understand and put into context the massive amounts of data available in autonomous