Data Digest: IoT Development Obstacles, Agility's the Key, and Big Data Access Still Slow
How to avoid setbacks in Internet of things development, the future of data analytics is agility, and why access to big data still haven't taken off.
How to Overcome IoT Development Obstacles
The Internet of things has nearly limitless potential. The only problem is it’s incredibly tough to develop something for the IoT. This article shows the main hurdles you’ll face making something for the IoT and six ways to get around them.
Agility: The Key to a Sentient Enterprise
The future of data analytics is building a sentient enterprise that can automatically analyze data and make decisions without needing any human help. That ultimate efficiency starts with one concept: agility.
Access to Big Data Not High Priority for Most Enterprises
(Source: Tech Republic)
More enterprises every year are becoming aware of (and utilizing) big data, but according to a recent CA Technologies Survey, only 35 percent of these enterprises plan on making big data tools more accessible for employees. This means that only select data scientists have access to the data, and that limits what the data can do because only a few people are asking the data questions. If you democratized your data, you might be surprised at what you’ll get from non-data scientists.
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Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at pungry.com.