Tim Berglund

VP Developer Relations at Confluent

Tim Berglund
   

Tim is a teacher, author, and technology leader with Confluent, where he serves as the Vice President of Developer Relations. He is a regular speaker at conferences and a presence on YouTube explaining complex technology topics in an accessible way. He tweets as @tlberglund, blogs every few years at http://timberglund.com. He has three grown children and two grandchildren, a fact about which he is rather excited.

Presentations

Graph Theory You Need to Know

Tuesday, 8:30 PM EST

Which marriages in the village will last? Which chicken is queen of the coop? How many crayons do you need to color a county map of Tennessee? What do all of these questions have in common? They're all graph problems.

Graphs are simultaneously the most intuitive data structure and host to some of the most esoteric algorithms and properties most developers are likely to encounter. Come to this talk for a friendly and approachable introduction to graph theory, application, and implementation.

Four Distributed Systems Architectural Patterns

Wednesday, 5:00 PM EST

Developers and architects are increasingly called upon to solve big problems, and we are able to draw on a world-class set of open source tools with which to solve them. Problems of scale are no longer consigned to the web’s largest companies, but are increasingly a part of ordinary enterprise development. At the risk of only a little hyperbole, we are all distributed systems engineers now.

In this talk, we’ll look at four distributed systems architectural patterns based on real-world systems that you can apply to solve the problems you will face in the next few years. We’ll look at the strengths and weaknesses of each architecture and develop a set of criteria for knowing when to apply each one. You will leave knowing how to work with the leading data storage, messaging, and computation tools of the day to solve the daunting problems of scale in your near future.

Big Data Analytics with Cassandra and Spark

Thursday, 1:30 PM EST

Apache Cassandra is a leading open-source distributed database capable of amazing feats of scale, but its data model requires a bit of planning for it to perform well. Of course, the nature of ad-hoc data exploration and analysis requires that we be able to ask questions we hadn’t planned on asking—and get an answer fast. Enter Apache Spark.

Spark is a distributed computation framework optimized to work in-memory, and heavily influenced by concepts from functional programming languages. In this workshop, we’ll explore Spark and Cassandra together and see how they deliver a powerful open-source big data analytics solution.

Big Data Analytics with Cassandra and Spark

Thursday, 3:15 PM EST

Apache Cassandra is a leading open-source distributed database capable of amazing feats of scale, but its data model requires a bit of planning for it to perform well. Of course, the nature of ad-hoc data exploration and analysis requires that we be able to ask questions we hadn’t planned on asking—and get an answer fast. Enter Apache Spark.

Spark is a distributed computation framework optimized to work in-memory, and heavily influenced by concepts from functional programming languages. In this workshop, we’ll explore Spark and Cassandra together and see how they deliver a powerful open-source big data analytics solution.

Books

Building and Testing with Gradle

by Tim Berglund and Matthew McCullough

Building and Testing with Gradle

  • 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