Top Forrester mobile app-dev analysts Jeffrey Hammond and Michael Facemire prognosticate about the top trends for mobile application development in 2013. In this episode of Forrester TechnoPolitics, your host, Mike Gualtieri, asks Jeffrey and Michael to each make three predictions about mobile application development in 2013. Listen to this lively discussion and let us know if you agree or disagree with these predictions or have a few of your own to contribute.
Podcast: Mobile App Development Predictions For 2013 (14 minutes)
Rowan Curran, Research Associate and TechnoPolitics producer, hosts this episode to ask me (your regular host) about The Pragmatic Definition Of Big Data. Listen (5 mins) to hear the genesis of this new definition of big data and why it is pragmatic and actionable for both business and IT professionals.
Podcast: The Pragmatic Definition Of Big Data Explained (5 mins)
One-Size Software Development Methodologies Do Not Fit All
Dozens of software development methodologies exist, from waterfall to Agile to pure anarchy (Agile has always rubbed me wrong). Mark Kennaley speaks the truth when he says that “there is no ‘best’; there’s only contextual fitness for purpose.” Mark is the founder of Software Development Experts, a software development methodology historian, a consultant, and the creator of an expert system that helps organizations determine the best software methodology to use based on 10 factors: development team size, domain complexity, technical complexity, the geographical dispersion of the development team, time-to-market pressure, enterprise specialization, contract relationships, compliance, criticality, and culture. This makes perfect sense, and so does Mark. Unfortunately, entrenched dogma and high ceremony can obscure what really matters.
Composite, Dynamic Software Development Methodologies Are Best
TechnoPolitics speaks with Mark about how firms can choose the best methodology based on the 10 factors that matter. One size does not fit all. Listen to find out why and how to move forward.
Podcast: One-Size Software Development Methodologies Do Not Fit All
Big data is not defined by how you can measure data in terms of volume, velocity, and variety. The three Vs are just measures of data— how much, how fast, and how diverse? A quaint definition of big data to be sure, but not an actionable, complete definition for IT and business professionals. A more pragmatic definition of big data must acknowledge that:
Exponential data growth makes it continuously difficult to manage — store, process, and access.
Data contains nonobvious information that firms can discover to improve business outcomes.
Forrester cloud computing expert James Staten recently published 10 Cloud Predictions For 2013 with contributions from nine other analysts, including myself. The prediction that is near and dear to my heart is #10: "Developers will awaken to: development isn't all that different in the cloud," That's right, it ain't different. Not much anyway. Sure. It can be single-click-easy to provision infrastructure, spin up an application platform stack, and deploy your code. Cloud is great for developers. And Forrester's cloud developer survey shows that the majority of programming languages, frameworks, and development methodologies used for enterprise application development are also used in the cloud.
Forget Programming Language Charlatans
Forget the vendors and programming language charlatans that want you to think the cloud development is different. You already have the skills and design sensibility to make it work. In some cases, you may have to learn some new APIs just like you have had to for years. As James aptly points out in the post: "What's different isn't the coding but the services orientation and the need to configure the application to provide its own availability and performance. And, frankly this isn't all that new either. Developers had to worry about these aspects with websites since 2000." The best cloud vendors make your life easier, not different.