With news of earnings calls, and GigaOM’s recent coverage of data centers and big data fresh on everyone’s minds, the latest research content on GigaOM Pro this week looks at the near-term prospects for both future and legacy technologies. The market for wearable-computing devices, data center energy use concerns and proved to be an especially popular topic. Here’s a look at some of the newest and most interesting research content published on GigaOM Pro.
Note: GigaOM Pro is a subscription-based research service offering in-depth, timely analysis of developing trends and technologies. Visit pro.gigaom.com to learn more about it.
The wearable-computing market: a global analysis (Jody Ranck)
Opportunities in the wearable computing market are now found in everything from fashion to fitness. Using Google’s Project Glass as a particularly prominent example, Pro analyst Jody Ranck posits that we are “on the verge of wearables becoming mainstream devices in the coming years.” Although the mobile and health sectors will see the biggest impact over the next five years, Ranck looks at current and emerging wearable technologies that will resonate across the enterprise, disability technology, fashion, gaming/entertainment, and augmented reality sectors.
The case for low-power servers in the modern data center (Adam Lesser)
Data-center power consumption continues to rise. At the same time, Web giants like Google, Apple and Facebook are on the hunt for ways to reduce their power bills and their carbon footprints, and the server itself could could be key to this. Pro’s cleantech curator, Adam Lesser, looks at opportunities and companies that are important to cost-effectively lowering power prices in data centers.
Scaling Hadoop clusters: the role of cluster management (Paul Miller)
As an increasing number of corporations, educational institutions and startups embrace big data, concerns arise around how to manage and process these unprecedented volumes of information. In this report, analyst Paul Miller looks at how Hadoop can be used to automate big-data management through the use of data clusters.
Social-TV apps: understanding consumer behavior and the evolving ecosystem (Nicole Anetra Lewis)
Social TV has emerged as a digital technology that could fundamentally change the way we interact with and share what we see on television. Analyst Nicole Lewis focuses specifically on pure-play social TV, which depends on apps installed on second screen devices (such as smartphones or tablets), and provides a data-driven analysis of current user experiences and the market technology ecosystem to craft a series of recommendations for companies and entrepreneurs who are considering an entry into the social TV space.
