Results for Data Processing Services

Near-data processing (NDP) is a simple concept: Place the processing power near the data, rather than shipping the data to the processor. It's also inevitable. Here's why it's coming to your datacenter.

StreamAnalytix helped to implement a hyper-scale Stock Ticker application that demonstrates real-time processing, storage, and visualization of huge volumes of stock-tick data. Read the case study to learn more.

Streaming data is data that flows in continuously from highly distributed sources. These data streams are constantly feeding data that data platforms can use or act upon dynamically and in real time, without the need to download or batch it firstData streams come from a wide variety of sources and in many different formats, ranging from server log files and network device data to website…

The cloud, IoT, and big data seem to be driving renewed interest in data integration. Here are a few patterns to consider.

'Big data' has been the big buzz for the past few years. We've thrown together five projects using mass information in creative ways.

To gather precise data on more than a billion stars and other phenomena in our galaxy requires some intense data collection equipment and processing ...

Azure Data Factory is a workflow service that enables data flows between storage and processing systems. Here's a closer look at the service, and its impact on big data analytics.

A Reliant Medical Group executive on the many steps of the pop health journey

A safety data sheet (SDS) is a requirement in manufacturing facilities where a chemical used in food processing warrants precautions

Musketeer: all for one, one for all in data processing systems – Gog et al. 2015 Musketeer gives you portability of data processing workflows across across data processing systems. It can eve…