This weekend review: an analysis of data-discovery tools and tectonic shifts in networking

This week at Gigaom we held our annual Structure Data conference in New York City, where industry thought leaders shared their views on big data and its impact on the information economy. For links to the editorial team’s coverage of Structure Data 2014 as well as a link to the archived videos, check out our event blog.

In tandem with the event, Gigaom Research published our Sector RoadMap on data-discovery tools. Reports also new and popular this week include Mark Leary’s analysis of software-defined networking (SDN) and network functions virtualization (NFV), in addition to our European app economy survey.

First, Andrew Brust analyzes data-discovery tools in his new Sector RoadMap by scoring six representative suppliers against Disruption Vectors such as self-service and mobile capabilities. Brust’s analysis of vendors such as Datameer and Tableau is a helpful aid for tech buyers looking to choose a product best suited for their unique situation. 

Second, in “SDN, NFV, and open source: the operator’s view,” Mark Leary analyzes two of the more dramatic oncoming technology shifts in networking. He also pinpoints the role of open source in the widespread adoption and ultimate success of both software-defined networking (SDN) and network functions virtualization (NFV) solutions. This report is supported in part by an extensive Gigaom Research survey that questioned 600 operators in North America.

Last, Gigaom Research forecasts the European app market’s growth by pulling insights drawn from two surveys of app developers in “Sizing the EU app economy.” According to analysts David Card and Mark Mulligan, the signs are promising for the emerging app economy to reboot a struggling Europe and infuse European Union countries with startup energy. This report also takes a look at the profiles of the app-developer workforce.

Also popular this week:

Mobile disruption in the living room in 2014

3D Printing: hype, hope or threat?

Internet of things: the influence of M2M data on the energy industry