In previous posts on this topic of Big Broad Data, we looked at some of the reasons for and implications of enterprises shifting their focus from the “bigness” and technology hype of “Big Data” to breadth and diversity, signal extraction, analytics and deep insights.
The future is around the easy consumption, the flow and interaction of data, which drives a revolution in the world of Data APIs. The structure of the Data APIs becomes increasingly important.
In my previous post about Making the shift from Big to Broad Data, I made the case for thinking about Big Data not so much as “Big” but as “Broad.” We looked at the explosion of new data sources in today’s economy, which are individually typically smaller and more diverse than the enterprise systems of record of the past. Data comes from a variety of sources like Twitter, Facebook, partners, tens and hundreds of apps (some built around your APIs), and more.
To be responsive and make business decisions, an enterprise simply has to be responsive to data...
In my previous post, I laid out why I think we need to move beyond the hype of Big Data technology and “bigness” to focus instead on the breadth and diversity of data, as well as signal extraction, analytics and deep insights from that broad data.
Here we’ll delve into what we mean by "Broad Data" as well as some of the fundamental changes for businesses in today’s marketplace that compel the need to focus on breadth of data and on data stitching from disparate sources.
Thanks to all who participated in last week's Webcast, Big Data: Beyond the 'Bigness' & the Technology. We explored moving beyond the "bigness" and technology hype of the typical Big Data conversation to how businesses need to respond to the explosion of new, disparate and dynamic data sources as social, mobile and cloud influences shift customer interaction to the edge of the enterprise.
The amount of data in our world has been exploding, and the concept of “Big Data” - collecting and analyzing large data sets—needs no introduction. It’s the buzzword of 2012 where IT is concerned.
There's been a focus on the business side of Big Data, which of course is a critical component of the discussion. Big Data is most certainly the next frontier for innovation, competition and productivity (McKinsey Global Institute, 2011).
However, a quick Google search, a track of #bigdata in your Twitter feed, or 5 minutes in a conversation with folks about "Big Data" will show you how...
Thanks to all who participated in the Mobile Apps 101 Webinar last week about "designing apps that people want to use." The video and slides are below.
Check them out for an introduction to some key patterns for mobile app development—repeatable patterns that represent functionality for the front and back-end of mobile apps. Thanks @edanuff, @gbrail, @timanglade.
Thanks to all who participated in last week's Webinar, Scaling APIs: Predicting, Preparing for & Overcoming Challenges, in which we examined common bottlenecks and hurdles encountered when scaling your API. We discussed some tips and tricks for how to overcome those challenges as your API traffic grows 10x, 100x, 1000x . . . The video (~50 min.) and slides are below.