Extract more meaning from acquired data with NI/HPE’s Big Analog Data platform

June 05, 2016 // By Graham Prophet
National Instruments (NI) and Hewlett Packard Enterprise (HPE) have announced a collaboration that will yield a pre-tested solution to analyse time-series sensor data: the two partners are calling the offering Big Analog Data solutions, based on NI DataFinder Server Edition software and HPE Moonshot Systems.

Engineers, says NI, must collect and manage sensor data that is fundamentally different from that which conventional “big data” solutions typically tackle. The collaboration of HPE, from the computing and data processing space, with NI’s expertise in data acquisition and analysis, is expected to result in the availability of a pre-tested hardware and software combination for solving engineering data management problems and making decisions from sensor data more effectively.

Combining the HPE Moonshot Systems and DataFinder Server Edition provides engineers with a complete, pre-validated, tested solution to manage and analyse the complexities of file-based sensor data. With DataFinder Server Edition software running on HPE Moonshot server blades, users can manage structured and unstructured data generated from any data acquisition analysis node.

“The DataFinder-Moonshot Big Analog Data solution is a potent combination, making it easier for engineers to rapidly deploy and gain insight from manufacturing, test and Internet of Things (IoT) data,” said Dr. Tom Bradicich, Vice President and General Manager of Servers and IoT Systems at HPE. “With this pre-tested solution, HPE and NI are helping our customers to reduce their integration risks.”

“With the IoT and the emergence of more connected systems, our customers are collecting more data than ever before,” said Eric Starkloff, Executive Vice President of Global Sales and Marketing at NI. “By analysing more of their data in a reliable and accurate way, our customers can better document the results of their tests and take actionable steps to improve the efficiency and designs of their applications.”

NI/HPE; www.ni.com/datafinder and www.hpe.com/info/moonshot