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Some systems are too large to be understood entirely by any one human mind. They are composed of a diverse array of individual components capable of interacting with each other and adapting to a changing environment. As systems, they produce behavior that differs in kind from the behavior of their components. Complexity Theory is an emerging discipline that seeks to describe such phenomena previously encountered in biology, sociology, economics, and other disciplines.

Beyond new ways of looking at ant colonies, fashion trends, and national economies, complexity theory promises powerful insights to software development. The Internet—perhaps the most valuable piece of computing infrastructure of the present day—may fit the description of a complex system. Large corporate organizations in which developers are employed have complex characteristics. In this session, we'll explore what makes a complex system, what advantages complexity has to offer us, and how to harness these in the systems we build.

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Alistair Cockburn has described software development as a game in which we choose among three moves: invent, decide, and communicate. Most of our time at No Fluff is spent learning how to be better at inventing. Beyond that, we understand the importance of good communication, and take steps to improve in that capacity. Rarely, however, do we acknowledge the role of decision making in the life of software teams, what can cause it to go wrong, and how to improve it.

In this talk, we will explore decision making pathologies and their remedies in individual, team, and organizational dimensions. We'll consider how our own cognitive limitations can lead us to to make bad decisions as individuals, and what we might do to compensate for those personal weaknesses. We'll learn how a team can fall into decision-making dysfunction, and what techniques a leader might employ to healthy functioning to an afflicted group. We'll also look at how organizational structure and culture can discourage quality decision making, and what leaders to swim against the tide.

Software teams spend a great deal of time making decisions that place enormous amounts of capital on the line. Team members and leaders owe it to themselves to learn how to make them well.

Traditionally, business intelligence tools have been a high-cost part of any enterprise's software inventory. Recently, options have emerged that allow architects to build a credible business intelligence stack out of entirely open-source components. In this brief overview, we will demonstrate ETL, reporting, and analytics tool that can be deployed free or at low cost. Learn how to turn your company's transactional database into a rich data asset with a business-friendly user interface that integrates into your existing software infrastructure.

We begin this session talking about the differences between a transactional database and a data warehouse, describing the many benefits of creating the latter. Then we'll see how to take a transactional database and convert it into a warehouse star schema using the Eclipse-based Talend ETL. Next, we'll demonstrate how to enable business analysts to build reports with Jasper iReport, an open-source visual report designer. We'll talk about ways to integrate these report designs into your Java- or Groovy-based application. Finally, we'll look at more sophisticated options for analysis using tools from Pentaho.

This is a mile-wide, ankle deep view of an open-source business intelligence stack. Through this whirlwind overview, you'll learn the basic principles of business intelligence, how to think architecturally about the components of a BI stack and how to integrate them into the enterprise, and what specific tools you can employ to get the job done.

Once you're familiar with the concepts of data warehousing, star schemas, cubes, and pivot tables, then it's time to dive in and look at how the tools really work. Continuing from the quick demos in Part I, this workshop session will have you building an actual ETL process with Talend Open Studio. This hands-on exercise will acquaint you with the tooling and solidify the concepts you've learned.

Be sure to bring a laptop (or pair with a friend who has one). You'll receive a VM image in "Learning Open Source Business Intelligence" if you attend it, or at the start of this workshop otherwise. This VM has all the tools we'll need pre-installed and ready to use.

You love Groovy and you're a believer in cloud computing. For a larger project you might choose Grails and hosting on Amazon EC2, but what if you want to take advantage of the nearly massless deployments of a cloud provider like the Google App Engine? You could make Grails work, but it's not always the best fit. Enter Gaelyk.

Gaelyk is a lightweight Groovy web application framework built specifically for the Google App Engine. In this session, we'll talk through the simple abstractions it offers, then show how easy it is to code and deploy a useful application to the cloud.