Best of Upside's Data Digest
Articles examine using data from the Internet of Things (IoT) in analytics, open source considerations, using external data effectively, and the infrastructure IoT needs.
- By Quint Turner
- June 3, 2016
www.xxx.comTurning IoT into Analytics
The next step for the Internet of Things is the Analytics of Things: turning IoT data into effective insight. This article reviews the major challenges and opportunities for generating analytics out of the data from connected devices.
Look to External Data for Better BI
(Source: IT Pro Portal)
Most of business intelligence is working with internal data. Even modern tools don't always allow enterprises to incorporate external data into analytics. According to this article, new self-service tools will transform BI for the better by fully incorporating market information and other data from public sources.
What to Know When Considering Open Source
(Source: Information Management)
When implementing most new technologies, the first choice that must be made is between open source and retail software. Each has strengths and weaknesses. Choosing open source may seem riskier, but this article explains the potential benefits and the guidelines to keep in mind if you choose open source.
IoT Data Deluge Requires New Infrastructure
The enterprise has to evolve alongside technology. This article explains the new infrastructure, including more storage and real-time ingestion, needed to handle the explosion of data caused by IoT devices.
IoT Needs Collaborative, Open Source Effort
Breaking in to the IoT market is difficult right now because few standards are in place. This article argues that for IoT to spread, a collaborative community of enterprises have to develop open source IoT standards together.
Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at pungry.com.