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.
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.
PRESENTATION TRANSCRIPT:
Mergers are very difficult to do well. In a merger, the technology that can be more easily spread across the new entity is likely the one to survive. The expert in this video focuses on the importance of selecting systems that are flexible, modular and have required infrastructure to anticipate change and growth during a merger or acquisition.
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.
EGUIDE:
This expert e-guide from editors explores key power and cooling tips to optimize data center energy efficiency. In addition, discover best practices for backup power maintenance to ensure uninterrupted data center power.
CASE STUDY:
Integrating asset maintenance activity and equipment history in IBM Maximo with financial and planning systems is helping Tube Lines meet its financial targets, plan for long-range capital investments and improve the rail infrastructure. Read this case study now to learn more.
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.
WEBCAST:
Tune in to this Webinar to find out how data quality influences the effectiveness of predictive analytics and forecasting. You’ll learn how to go beyond name and address matching to realize the potential of numerical data quality, how to overcome insufficient yet relevant data from your predictive and forecasting models, and more.
