Data Management in the Era of Data Intensity
To succeed in the digital services economy – and the era of data-intensive applications – you need to leverage fresh data to deliver engaging real-time …
Big Data technologies and use cases for real-time analytics. Big Data technologies, market insights, and use cases for real-time analytics.
To succeed in the digital services economy – and the era of data-intensive applications – you need to leverage fresh data to deliver engaging real-time …
Organizations need an easy, scalable, and secure way to integrate many data sources across hybrid environments. A suitable solution must support enterprise …
Cloud is increasingly supporting faster and more comprehensive methods of data integration, including automated data pipelines, real-time data streaming, and …
External data integration is critical in giving your organization the leading edge in making business decisions
In this Q&A interview, Aible and Intel provide insights not only on how to avoid AI project failures but how they deliver guaranteed results from AI within 30 …
In this week's real-time analytics news: Cloudera announced the launch of Cloudera Data Platform (CDP) One, an all-in-one data lakehouse SaaS offering for …
Not all location intelligence data is created equal. There are nuances and, sometimes, inherent biases. Here are three criteria for evaluating the available …
Managing database access can be a bane of many organizations developing modern applications. RHODA simplifies the process while offering the visibility, …
Harnessing the full power of real-time data streams delivers great value, but is difficult for many organizations. The top hurdle is integrating multiple data …
Most data stacks begin governance at the warehouse, but they don't know where that ELT data came from and what the context and source is. We need to fix