New York Software Symposium
May 4 - 5, 2012 - New York, NY
Tim Berglund
GitHubber
Tim is a full-stack generalist and passionate teacher who loves working with people as much as he loves to code. He believes the best developer is one who is well-informed of specifics and can also make deep connections between software development and the broader world. He has recently been exploring non-relational data stores, why professionalized product management is a global suboptimization, and of course everything related to Git. He does not really believe that it is possible to teach, but rather believes that it is his responsibility to create an environment in which people can learn.
He is also a poet, having composed and produced companion videos for Oh, The Methods You'll Compose and The Maven, with another project currently in the works. If you've been in his Git classes, you've seen some famous poems make their way into the world's best version control system.
Tim is a speaker internationally and on the No Fluff Just Stuff tour in the United States, and is co-president of the Denver Open Source User Group, author of the Gradle Liquibase Plugin, the maintainer of the Ratpack web framework, co-presenter of the best-selling O'Reilly Git Master Class, co-author of Building and Testing with Gradle, a member of the O'Reilly Expert Network, and a member of the GigOM Pro Analyst Network. He occasionally blogs at timberglund.com.
He lives in Littleton, CO, USA with the wife of his youth and their three children.
Presentations
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.
In this talk, we'll examine three important contenders in the NoSQL space: Cassandra, MongoDB, and Neo4J. We'll review their data models, scaling paradigms, and query idioms. Most importantly, we'll work through the exercise of modeling a real-world problem with each database, and look at the code and queries we'd use to implement real product features. Come to this session for a thorough and thoroughly practical smackdown between three important NoSQL products.
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.
Neo4j is an obvious fit to anyone who thinks they have a graph problem to solve, but this is not many people. It turns out that the most interesting property of Neo4j is its architectural agenda. It wants you to think of the entire world as a graph—as a set of connected information resources. Steeped in the thinking of resource oriented architecture, this NoSQL database wants to change the way you look at your world, and unlock new value in your data as a result.
Lightweight Web Apps with Ratpack
Ratpack is a hyper-lightweight, Groovy-based web framework for developing and deploying simple apps in a hurry. Like its high-achieving cousin Gaelyk, it provides Groovy developers with a way to create web apps without days of iteration zero setup time.
In this talk, we'll look over Ratpack's very simple structure and live-code a small, practical example application. We'll look at how to evolve simple controller logic, how to manage templates, how to persist data, and how to deploy Ratpack applications to the web. The Java world needs ways to build small applications in a hurry, and Ratpack is the latest way to do it!
Cassandra: Radical NoSQL Scalability
Want to go deep on a popular NoSQL database? Cassandra is a scalable, highly available, column-oriented data store in use at Netflix, Twitter, Reddit, Rackspace, and other web-scale operations. It offers a compelling combination of a rich data model, a robust deployment track record, and a sound architecture, making it a good choice of NoSQL databases to study first.
In this session, we'll talk about Cassandra's data model, look at its query idioms, talk about how to deploy it, and look at use cases in which it is an appropriate data storage solution. We'll study its origins in the Amazon Dynamo project and Google's BigTable, and learn how its architecture helps us achieve the gold standard of scalability: horizontal scalability on commodity hardware. You'll leave prepared to begin experimenting with Cassandra immediately and planning its adoption in your next project.
Books
by Tim Berglund and Matthew McCullough
List Price: $24.99
Price: $22.49
You Save: $2.50 (10%)
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Build and test software written in Java and many other languages with Gradle, the open source project automation tool that’s getting a lot of attention. This concise introduction provides numerous code examples to help you explore Gradle, both as a build tool and as a complete solution for automating the compilation, test, and release process of simple and enterprise-level applications.
Discover how Gradle improves on the best ideas of Ant, Maven, and other build tools, with standards for developers who want them and lots of flexibility for those who prefer less structure.
- Use Gradle with Groovy, Clojure, Scala, and languages beyond the JVM, such as Flex and C
- Get started building a simple Java program using Gradle's command line tooling and a small build script
- Learn how to configure and construct tasks, Gradle's fundamental unit of build activity
- Take advantage of Gradle's integration with Ant
- Use Gradle to integrate with or transition from Maven, and to build software more cleanly
- Perform application unit and integration tests using JUnit, TestNG, Spock, and Geb
Price: $22.49
You Save: $2.50 (10%)
-
Build and test software written in Java and many other languages with Gradle, the open source project automation tool that’s getting a lot of attention. This concise introduction provides numerous code examples to help you explore Gradle, both as a build tool and as a complete solution for automating the compilation, test, and release process of simple and enterprise-level applications.
Discover how Gradle improves on the best ideas of Ant, Maven, and other build tools, with standards for developers who want them and lots of flexibility for those who prefer less structure.
- Use Gradle with Groovy, Clojure, Scala, and languages beyond the JVM, such as Flex and C
- Get started building a simple Java program using Gradle's command line tooling and a small build script
- Learn how to configure and construct tasks, Gradle's fundamental unit of build activity
- Take advantage of Gradle's integration with Ant
- Use Gradle to integrate with or transition from Maven, and to build software more cleanly
- Perform application unit and integration tests using JUnit, TestNG, Spock, and Geb
