WHITE PAPER:
By providing a common architecture for the 100 MS/s mixed-signal prototyping a test suite of instruments, the SMC enables the instruments to test systems where digital and analog signals are side by side.
WHITE PAPER:
NI platform offers high test throughput, increased productivity, and a lower cost of ownership than traditional disjoint systems or turnkey solutions based on proprietary architectures.
CASE STUDY:
This informative case study examines how a global business was able to extend their high-performance infrastructure to deliver online responses in less than ten milliseconds, regardless of location.
TRIAL SOFTWARE:
Hitachi IT Operations Analyzer delivers all-in-one monitoring for the data center. A single interface provides a view to the availability and performance of servers and network and storage devices on a network. It eases troubleshooting without agents.
WHITE PAPER:
Find out how NoSQL databases can help your company meet the growing amounts of data in a manageable and usable fashion for BI. This paper gives an in-depth example at how MongoDB provides NoSQL benefits, as well as leveraging data in real-time, the benefits of document-oriented data, and examples of how users have implemented this to their BI.
WHITE PAPER:
In this brief white paper, you will discover how to seamlessly and affordably implement an innovative scale-out storage solution that effectively manages insurmountable data growth and pace of business.
CASE STUDY:
Read this paper to learn how when Apex CoVantage needed a more sophisticated OCR solution they turned to the ABBYY FineReader Engine and started seeing the benefits almost immediately and continue to experiencing them every day.
WHITE PAPER:
This exclusive resource discusses what features should be a requirement for your unified communications solutions, offering helpful tips and guidance for purchasing a solution that is right for your specific needs.
EBOOK:
Big data is great, but how do you get it all to the analytical engines? Read this white paper to learn how to start getting big data to where it's needed.