Data Warehouse Design: A Move to Real Time
Modern data warehouse design often involves new platforms that can deal with new sources of unstructured and real-time data, as well as use of
Big Data technologies and use cases for real-time analytics. Big Data technologies, market insights, and use cases for real-time analytics.
Modern data warehouse design often involves new platforms that can deal with new sources of unstructured and real-time data, as well as use of
A study sponsored by SAS finds that the competitive edge of analytics is declining and companies are struggling to get ahead of the
Data has little value without the right architecture, use case, and analytics capabilities in
Apache Spark offers fast speeds, integration with a variety of programming languages, and flexibility. But Spark vs. Hadoop MapReduce is not an either-or
Big Data trends and emerging technologies include self-service data preparation, the cloud, Internet of Things, data-as-a-service, and embedded
Envision, a power producer, uses Parstream software to crunch real-time data from wind and solar panels. The predictive analytics solution enhances energy …
Big Data has transformed business and may hold the key to battling complex diseases such as cancer. Taking advantage of Big Data, however, requires …
With self-service data prep, organizations are able to reinvent the way they use and analyze Big Data to drive business
Data integration technology needs to adapt to the IoT, often processing data "in flight" as it moves from place to
An effective IoT architecture features middle-tier gateways and controllers to manage high volumes of continuous data, giving companies only needed