NI’s DataFinder Server Edition will work with HPE’s Moonshot System to help IoT engineers better manage huge volumes of data. (Image courtesy of NI.)
Hewlett Packard Enterprise (HPE) and National Instruments (NI) recently announced a collaboration to offer pretested big analog data solutions. The goal of this collaboration is to make it easier for Internet of Things (IoT) engineers to gain quick insight from their big data.
Working Together to Manage Big Analog Data
The collaboration will be based on HPE’s Moonshot System and NI’s DataFinder Server Edition software. The two companies hope that combining their respective offerings will allow engineers to analyze their time series sensor data. By running the DataFinder software on HPE Moonshot server blades, users will be able to manage both structured and unstructured data generated from multiple sources.
“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 IoT data,” said Tom Bradicich, vice president of IoT systems at HPE.
Analytics Tool to Address the Five V’s of Big Analog Data
In a white paper released earlier this year, NI defines what it considers to be the 5 V’s of big data:
- Volume, referring to large amounts of data gathered by the IoT system
- Variety, referring to the many types, structures and formats in which the data is found
- Velocity, referring to high rates of data acquisition
- Value, referring to the potential of the data to yield valuable insights
- Visibility, referring to the need to access the data from multiple and separate locations
Big analog data, then, refers to any set of data showing a mix of some or all of these V’s that is obtained from analog sources. This applies to many types of IoT applications, such as those making use of sensors to collect physical data. The collaboration between NI and HPE looks to be addressing these five V’s for big data analytics.
We’ve discussed the issue of big data before—with an increasing number of IoT solutions comes a need for efficient management of the corresponding increase in data. Eric Starkloff, vice president of global marketing and sales at NI, understands this issue and also believes the collaboration will be a step towards addressing it.
“With the IoT and the emergence of more connected systems, our customers are collecting more data than ever before,” he said. “By analyzing 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.”
To learn about another issue facing IoT engineers, check out “What Engineers Need to Know about Communication Protocols When Choosing IoT Management Software.”