Christopher Judd

CTO of Manifest Solutions

Christopher Judd is CTO and partner at Manifest Solutions (http://www.manifestcorp.com), an international speaker, Java Champion, an open source evangelist, and the Central Ohio Java Users Group (http://www.cojug.org) leader. He is an accomplished writer having co-authored Beginning Groovy and Grails (Apress, 2008), Enterprise Java Development on a Budget (Apress, 2003) and Pro Eclipse JST (Apress, 2005) as well as the author of the children’s book “Bearable Moments”. Based in Columbus Ohio, he has spent over 20 years architecting and developing software for organizations ranging from Fortune 50 companies to start-ups across various industries including insurance, health care, education, retail, government, manufacturing, service, and transportation. Mr. Judd spends most of his time consulting while continuing to focus on mentoring and training in Java, mobile and related technologies.

Presentations

iOS Workshop

9:00 AM MDT

During the all day iOS hands-on tutorial, we will do soup to nuts iOS development. We will start with how to use XCode and build a universal application for iPhone and iPad using a variety of common APIs. We will finish up talking about and demoing how to prepare and deploy to the app store.

The app we build will allow us to experiment with a bunch of APIs including Core Data, Camera, and more.

Java in the (Amazon) Cloud Workshop

1:30 PM MDT

Wonder what all the Cloud Computing hype is about? Want to know how to deploy a standard Java web application to the cloud and get limitless scalability? Well, this hands on tutorial will answer all your questions and provide confidence by walking you through the process of deploying a sophisticated Java web application to the Amazon Web Service (AWS) Cloud.

During this tutorial you will provision clustered servers (EC2), relational database (EC2 and EBS), load balancer (Elastic Load Balancing), content delivery (Cloud Front) and how to monitor your whole infrastructure. Other Amazon Web Services will be demonstrated and discussed as appropriate.

Note: An Amazon Web Services Account is a nice to have and will incur a minimal cost during the tutorial but is not a requirement. Access to AWS will be provided to you if you don’t already have access.

Java in the (Amazon) Cloud Workshop

3:15 PM MDT

The search is over: Solr

5:00 PM MDT

Searching is an integral part of many applications today and yet it can still be difficult to integrate search into an application well. Search becomes even more challenging when you consider searching across an enterprise or need to support a large scale.

This presentation will explain how you can simplify searching with the open source enterprise search engine, Apache Solr. By the end of the presentation you will understand the relationship between Apache Lucene and Solr, how to create search documents, populate search documents all using Solr's easy REST-like HTTP/XML and JSON APIs. We will also look at some of the more interesting document mapping strategies and maybe even at some of the geo spacial searching capabilities.

Introduction to Hadoop Workshop

9:00 AM MDT

As an industry we are collecting more and more data. At some point we have to be able to make sense of the data. Unfortunately many of the tools we have historically used can not scale up to the terabytes and petabytes we have captured. Hadoop is one of those relatively new technologies that is taking the industry by storm since it has proven to scale by taking advantage of the MapReduce pattern and distributed computing.

During this hands-on tutorial you will provision a Hadoop cluster, write MapReduce jobs and learn how to store and access data via Hadoop Distributed File System (HDFS). You will also learn how cloud providers such as Amazon Web Services’ Elastic MapReduce (EMR) and Microsoft’s Azure HDInsight provide Hadoop as a service.

Introduction to Hadoop Workshop

11:00 AM MDT

Hadoop's Friends - Hive, Pig, Flume, HBase and Mahout Workshop

1:30 PM MDT

Whether you attended the Introduction to Hadoop pre-compiler or have some experience with Hadoop, this pre-compiler will take you to the next level with Hadoop by showing you how to utilize Hadoop's powerful accessorial tools such as Hive, Pig, Flume, HBase and Mahout. You will learn how to organize your data, get analytics, and even invoke machine learning to drive a recommendation engine like those used by Netflix, Amazon, and countless dating sites.

You will tour these technologies in a pre-configured environment to make large scale data transformations and queries using the power of MapReduce without the need for Java code. You will also explore the world of machine learning by writing (Java) code that finds patterns and relationships in data through clustering and classifying strategies as you harness the power of MapReduce to elicit informed recommendations from data.