Tim Berglund

NoSQL Smackdown 2012

Alternative databases continue to establish their role in the technology stack of the future—and for many, the technology stack of the present. Making mature engineering decisions about when to adopt new products is not easy, and requires that we learn about them both from an abstract perspective and from a very concrete one as well. If you are going to recommend a NoSQL database for a new project, you're going to have to look at code.

Connected Data with Neo4j

Neo4j is an open-source, enterprise-class database with a conventional feature set and a very unconventional data model. Like the databases we're already used to, it offers support for Java, ACID transactions, and a feature-rich query language. But before you get too comfortable, you have to wrap your mind around its most important feature: Neo4j is a graph database, built precisely to store graphs efficiently and traverse them more performantly than relational, document, or key/value databases ever could.

Hadoop

When you want to measure fractions of a millimeter, you get a micrometer. When you want to measure centimeters, you get a ruler. When you want to measure kilometers, you might use a laser beam. The abstract task is the same in all cases, but the tools differ significantly based on the size of the measurement.

Likewise, there are some computations that can be done quickly on data structures that fit into memory. Some can't fit into memory, but will fit on the direct-attached disk of a single computer. But when you've got many terabytes or even petabytes of data, you need tooling adapted to the scale of the task. Enter Hadoop.

Git Workshop (Bring A Laptop)

Git is a version control system you may have been hearing a bit about lately. But simply hearing more about it may not be enough to convince you of its value. Getting hands on experience is what really counts. In this workshop, you'll bring your Windows, Mac or Linux laptop and walk through downloading, installing, and using Git in a collaborative fashion.

Gradle Workshop (Bring a Laptop)

Gradle. Another build tool? Come on! But before you say that, take a look at the one you are already using.

Whether your current tool is Make, Rake, Ant, or Maven, Gradle has a lot to offer. It leverages a strong object model like Maven, but a mutable, not predetermined one. Gradle relies on a directed acyclic graph (DAG) lifecycle like Maven, but one that can be customized. Gradle offers imperative build scripting when you need it (like Ant), but declarative build approaches by default (like Maven). In short, Gradle believes that conventions are great – as long as they are headed in the same direction you need to go. When you need to customize something in your build, your build tool should facilitate that with a smile, not a slap in the face. And customizations should be in a low-ceremony language like Groovy. Is all this too much to ask?

Complexity Theory and Software Development

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.

Then Our Buildings Shape Us

Winston Churchill famously said, “First we shape our buildings, and afterwards, our buildings shape us.” He was talking about the reconstruction of the House of Parliament, which was damaged in a bombing raid in World War II. There was a debate about how to shape the chamber to best accommodate the deliberative activity of the body that met in it. Churchill was talking about buildings, but it turns out his insight is a very general one indeed.