Modularity is coming to the Java platform! Java 9 will introduce the Jigsaw module system. OSGi is here today. But don’t wait to start designing modular software. Contrary to popular belief, you don't need a framework or a new runtime to start building modular software applications. You can start today. Learn how!

In this session, we'll examine what it means to develop modular software on the Java platform. We'll examine the goals and benefits of modular software, and explore the patterns of modular architecture that help us develop modular software systems. With just a few easy steps, we'll see how to transform our software from a huge monolith to an extensible system of collaborating software modules. By examining an existing software system, we'll see first hand how we can increase software modularity with minimal disruption. You'll walk away not just with a much deeper understanding of the benefits of modular software, but also a migration roadmap for refactoring existing applications to increase their modularity. In other words, you'll see how to get ready today for the application platform of tomorrow.

OSGi is the dynamic module system for the Java platform. Today, OSGi is a major part of most application platforms, tools, and is supported by many major frameworks. In this session, we'll explore the fundamental underpinnings of OSGi, explore the OSGi ecosystem, clearly articulate the benefits of OSGi, and examine OSGi in the context of other microservice architectures.

After a gentle introduction to OSGi, we'll explore how OSGi allows us to overcome classpath hell and design very adaptable and flexible software systems. Through several coding examples, we'll explore numerous OSGi techniques, including versioning, hot deployment, isolation, lifecycle, and OSGi specific microservices.

Traditional approaches to software architecture are broken. Attempts to define the architectural vision for a system early in the development lifecycle do not work. In today’s volatile technology and business climate, big architecture up front is not sustainable. In this session, we will explore several principles that help us create more flexible and adaptable software systems. But first, we’ll expose the true essence of what’s meant when we say “architectural agility.”

What’s the goal of architecture? To serve as a blueprint of the system that everyone understands? Possess the flexibility to evolve as new requirements emerge? To satisfy the architectural qualities, including performance, security, availability, reliability, and scalability? Yes. Yes. Yes. At the heart of these three questions are the three pillars of architecture - social, process, and structure. But how do we create software architectures that achieves all of these goals? And how do we ensure no disconnect occurs between developers responsible for implementation and architects responsible for the vision? In this session, we’ll explore several principles to increase architectural agility and provide some actionable advice that will help you get started immediately.

New architectural paradigms are emerging that challenge traditional assumptions about the way that scalable and adaptable software is built. At the heart of these paradigms is a modular approach that breaks apart the monolithic application into microservices. But breaking apart the monolith has implications beyond software architecture and microservices are just one implementation alternative.

In this session, we will explore modularity’s fundamental role in a large scale software architecture. We’ll compare and contrast different implementation technologies for building modular architectures. And we’ll discover the impact that modern architecture has on infrastructure and methodology. Finally, we will examine how modern web and mobile apps fit into this overall architectural story.

Microservice architecture is a modern architectural approach that focuses on breaking apart the monolith and building modular services. But the framework we use has a tremendous impact on how we build and deploy services. A new type of framework has emerged that provides a lightweight stack for building microservices.

In this session, we will explore some modern Java micro frameworks for building microservices. Example frameworks you may see include Dropwizard, Spark, Ninja, RestExpress, Play, Restlet, and RestX.

The new facilities in Java 8 is about the change the way we write code. Our code will become
more expressive and concise. But, exactly how?

In this presentation we will take several common Java code examples, discuss the core idea expressed in code, and transform that code to use the facilities in Java 8. Watch and interact as you see Java code go through a weight loss program right in front of your eyes.

Functional programming has gained the recognition it deserves and almost all mainstream languages now support functional style of programming. With the introduction of lambdas in Java 8, we have new tools on our hands. In this presentation, we explore this tool and how we can benefit from it.

We start with an introduction to lambda and learn about imperative vs. declarative style and learn how to solve some common problems with it.

We all have heard about lambda expressions in Java 8. The real unsung hero of Java 8 are the Streams.

In this presentation we will take an example driven approach to explore streams, their core capabilities form the application development point of view, and how to explore these capabilities for improve performance and efficiency.

Big data, smart phones, tablets, wearable devices, multicore processors,…—we're seeing rapid and drastic
evolution in both the computing environments and the application needs. Thankfully, a number of technologies have been evolving over the past several years to meet these demands. The reactive manifesto is an attempt to reenforce a set of technical practices needed to meet the emerging demands.

If you've heard and read about reactive programming, but are eager to realize that in code, then this presentation is for you. We will start with a rapid introduction and get into code to learn about reactive programming, not in theory but with practical examples.

Conciseness, expressiveness, and fluency, among other things, are some of the core strengths of Scala.
Beyond the language capabilities, the Scala library has a wealth of capabilities to make expressive
and concise code quite efficient. This combination of benefits comes from the functional side of Scala where function composition and lazy evaluations are common place.

In this presentation we will learn about being lazy and, by doing so, how we can make the code quite efficient both from the point of view of expression and execution.

Creating code is easy, creating good code takes a lot of time, effort, discipline, and commitment. The code we create are truly the manifestations of our designs. Creating a lightweight design can help make the code more extensible and reusable.

In this presentation we will take an example oriented approach to look at some core design principles that can help us create better design and more maintainable code.

“Docker is an open-source engine that automates the deployment of any application as a lightweight, portable, self-sufficient container that will run virtually anywhere.” Docker creates containers that provide running process with:

• an equal slice of CPU
• a maximum memory quota
• its own process ID (PID) namespace
• its own network interface
• its own private root filesystem

It does this by leveraging low-level Linux kernel primitives like cgroups and namepaces. The end result is a portable application container that can run anywhere Docker can run, including on VMs, bare-metal servers, OpenStack clusters, public instances, or combinations of the above.

Containers are an excellent way to package your application such that it can run consistently everywhere you want to run it, a fantastic step toward Continuous Delivery. In this session we'll look at how to use Docker to package, deploy, and run Java applications and other services. We'll also compare Docker to another container solution, Warden, which is a key component of the Cloud Foundry PaaS.

Building and running container images isn’t enough. There are very real problems that we still have to solve:

• how do we schedule and run these containers on infrastructure?
• how do we create networks that can link these containers across multiple hosts?
• how do we handle data that needs to persist across container restarts?
• how do we handle concerns like service discovery and load balancing?

These concerns are the focus of much of the development work being done in the Docker ecosystem today.

We’ll examine the use of several projects and how they contribute to solutions to these problems, including:

• Kubernetes by Google
• Apache Mesos
• Cloud Foundry Diego
• Cloud Foundry BOSH
• Weave
• CoreOS
• The Hashicorp family of projects

Go is a very interesting language, open-sourced by Google in late-2009, that takes a “less is more” (http://commandcenter.blogspot.de/2012/06/less-is-exponentially-more.html) approach to language design, but that also bakes in a powerful concurrency model.

This talk will introduce Go, delve into its distinctives, and contrast its approach with that of Java (where appropriate). We'll also write a fair amount of Go code along the way. This talk will be of particular interest to Java developers looking to add Go to their toolkits, but will also be of interest to anyone looking to learn a little bit more about Go.

Topics will include:

• Go Syntax Overview
• Why Go?
• Contrasts with Java:
• Small language features and Idioms
• Packaging and Modularity
• Object-Oriented Constructs
• Concurrency with Goroutines and Channels
• Your Go Toolchain:
• Workspace
• The “go” Build Tool
• Dependency Management
• Testing
• Editors/IDE Support

Modern applications are changing as we embrace the engineering practices associated with Continuous Delivery and DevOps, migrate our applications to modern cloud platforms, elastically scale applications with the dynamics of customer demand, and embrace microservices architectures. The Twelve-Factor App is a collection of application development patterns developed by Heroku engineers that aim to support these types of architectural and cultural change.

The 12 Factors are:

1. One codebase tracked in revision control, many deploys
2. Explicitly declare and isolate dependencies
3. Store config in the environment
4. Treat backing services as attached resources
5. Strictly separate build and run stages
6. Execute the app as one or more stateless processes
7. Export services via port binding
8. Scale out via the process model
9. Maximize robustness with fast startup and graceful shutdown
10. Keep development, staging, and production as similar as possible
11. Treat logs as event streams
12. Run admin/management tasks as one-off processes

We’ll examine how to implement these factors using JVM “microframeworks” like Spring Boot and Dropwizard.

In this session, we will take a look at Angular - the powerful MVVM SPA framework from Google. We will discuss some of the terminology that Angular offers, and see how we can use that to develop highly interactive, dynamic web applications. See “Detail” for a list of topics I cover and the Github repo URL

In this session we will take a look at Angular and using it to develop rich web applications. Angular embraces HTML and CSS, allowing you to extend HTML towards your application, and uses plain JavaScript which makes your code easy to reuse, and test.

Note: This is an intro level talk. It is targeted towards developers who are curious about Angular and want to learn about the fundamental features and concepts in Angular.

Topics Covered -

• Bootstrapping an AngularJS application using ng-app
• ng-init and the evaluation {{ }} directive
• A brief look at $rootScope and scoping rules
• ng-model
• Controllers, Dependency Injection, and the View-Model
• Looping using ng-repeat
• Forms using ng-form, form validation and submission in AngularJS
• ng-messages to display form validation messages to the user
• Angular provided filters and custom filters

GitHub URL - https://github.com/looselytyped/angudone-workshop/tree/solutions

In this session, we will take a look at Angular - the powerful MVVM SPA framework from Google. We will discuss some of the terminology that Angular offers, and see how we can use that to develop highly interactive, dynamic web applications. See “Detail” for a list of topics I cover and the Github repo URL

In this session we continue our discussion from Part I. As we continue to evolve our application we will seek to use, and understand a few more of AngularJS' core constructs.

• Factories and services
• Routing using ng-view and $routeProvider
• AJAX calls to a backend using $http

If time permits we will look at a few good practices when developing AngularJS applications, ways to modularize your code, and some tools that aid in the development of AngularJS applications.

In this session we will look at some JavaScript patterns, and how you can use them within your code.

No longer can you think of JavaScript as a kiddie-scripting language. JavaScript has now been promoted to a first-class citizen within your application - and with this, comes the need to think of better abstractions, code re-use - even thinking of establishing a common vocabulary to discuss approaches to writing better, cleaner and ultimately more maintainable JavaScript code.

Jamie Zawinski once said “Some people, when confronted with a problem, think “I know, I'll use regular expressions.” Now they have two problems.“. Many consider regular expressions to be indecipherable, but the truth is that every programmer should consider regular expressions an integral part of their toolkit. From the command line to your favorite text editor, from parsing user input to scraping HTML pages - once you know regular expressions you will find a use for them in almost every programming context.

In this session we will attempt to unriddle the mystery that regular expressions pose. We will start at the basics and work our way towards more complex expressions.

You have used Regular Expressions before, and they don't faze you one bit. But you know lurking beneath is something even more powerful, and you want to know how to leverage that power. Well fear not! This is just the session you want. We will take a deep dive into Regular Expressions and walk away having understood how to truly take advantage of some of Regular Expressions more esoteric features.

You have used Regular Expressions before, and they don't faze you one bit. But you know lurking beneath is something even more powerful, and you want to know how to leverage that power. Well fear not! This is just the session you want. We will take a deep dive into Regular Expressions and walk away having understood how to truly take advantage of some of Regular Expressions more esoteric features.

Visibility is one of the primary characteristics of applications that aren’t just coded well, but run well in production. We need visibility to understand:

• how our system performs
• how our system misbehaves
• how our system fails
• how our users interact with our system
• what’s providing value to users and what’s not
• and more!

In this talk we’ll look at the three disciplines of monitoring, metrics, and logging, and see how properly used, they can dramatically increase our system’s inherent visibility.

Topics will include:

• what metrics should we collect?
• how should we expose those metrics?
• can frameworks help?
• what should we monitor?
• monitoring components vs. systems
• building dashboards
• the art of logging
• log aggregation and analysis
• tools, tools, tools, tools!

Back in the day, web developers had to rely on their wits and a plethora of alert statements - to say our toolkit was spartan would be an understatement. But with the increased importance of web front ends and the rise of JavaScript MVC frameworks, a modern web developer toolkit is finally emerging.

We've evolved from text editors to full fledged IDE's with code completion and refactoring tools but our toolchain doesn't end there. With multiple testing libraries, mocking frameworks, test drivers and even code coverage tools, today's web developer gets to walk downhill on a sunny day.

Take a look at your codebase. Go ahead, this abstract will wait. Notice anything? Perhaps a few more lines of JavaScript than years past? JavaScript is no longer an outlier, a language for the interns, something we can just mash together. Today, JavaScript is a first class citizen. As such, we need to treat it will all the care and feeding we extend our server side languages. This talk will introduce you to a set of tools that will help you write bulletproof JavaScript.

Step one, make sure we aren't making any basic mistakes like using == when we really mean ===. To remedy these types of bugs, we'll leverage JSHint to statically analyze our code. In addition to walking through the setup, we'll discuss how to ratchet up the rules as you improve your codebase. Just like Java or C#, we also need to test our JavaScript code. We'll introduce Jasmine, a BDD style testing tool as well as other tools that make help in the testing process. Last but not least, we'll take a tour of Plato, a JavaScript source code visualizer. Taken together, these tools can go a long way to improve your JavaScript code.

Too often we struggle with the transition. We want to become agile, but we feel that some kind of groundwork must be laid. “Sprint Zeroes” are used as an excuse to do anything BUT sprint. Provisioning hardware, setting up development environments, all these things take time in the enterprise. And all of these are very cumbersome - the opposite of agility.

In this presentation we will show you how to take an agile approach to your agile transition. When you leave you will know what you need to do to make the transition to agile with agility. You can start being agile instead of preparing to do agile.

What does it mean to be Agile? What are the basic principles of Agile Software development and how do I build my Agile Team. What do I really need to build a good agile team? What skills sets are required? Do Project Managers make good Scrum Masters? I have been “doing agile” for a while now and it doesn't seem to work? Does anyone ever really do “true agile”? This presentation is an Introduction to agility and is intended for people who are unfamiliar with Agile/Lean principles and want to learn more.

These are questions that I am asked on a regular basis. Even by people with “agile experience”.
In this presentation we will cover the BASICS of Agile software development and how to build your Agile team. This talk is NOT intended for those experienced in the agile space.

QA. We all know we need it, but quality takes time. How do we squeeze it into two-week sprints? Is a story really done if we haven’t finished QA? Do your Dev teams throw “code over the wall” to be tested in the next sprint? Or are your testers expected to test all your code in the last three Days of your Sprint? These are anti-patterns we see all the time in the Large Enterprise. In this presentation we will discuss how QA is handled - and mishandled when an Enterprises “adopt” Scrum. We will conclude with the best approaches to delivering potentially shippable code, in a quickly changing business world. This presentation will assume a basic understanding of agile principles.

In this presentation we will discuss how QA is handled - and mishandled. We will conclude with the best approaches to delivering production ready code in a lean, agile world. This presentation will assume a basic understanding of agile principles. This talk is not technical in nature. It is intended for those struggling with the transition from traditional QA enterprise teams - silos, testers report to a separate management structure - to QA in an Agile environment. We will discuss QA anti-patterns and how agile addresses them.

There is a fifth dimension beyond that which is known to us. It is a dimension as vast as space and as timeless as infinity. It is the middle ground of non-commitment between light and shadow, between science and superstition, agile and waterfall, and it lies between the pit of your fear of Big Up Front Design and your Project Manager’s desperate need for “dates” and “estimates”. This is the methodology of stagnation. It is an area which we call “The Scrummerfall Zone”… NOTE: This presentation is for those who have a solid understanding of agile principles, but are struggling with the transition to agile. There will be a lot of discussion during and after the presentation. Be prepared to talk.

Have you been sucked into a twilight zone like development process in which agile terms are slapped on to waterfall practices while management triumphantly declares your efforts “Agile”? In this presentation we will discuss some of the things that happen when waterfall meets agile in the large enterprise and the confusion and chaos that ensues. We’ll end with a discussion on productive ways to challenge the acceptance of scrummerfall and help bring your organization back from “The Scrummerfall Zone”.
Notice the emphasis on discussion. This will be an interactive session with approximately 60 minutes of presentation and 30 minutes reserved for discussion and questions. Be prepared to participate and ask question.

It was over 10 years ago that Spring hit the scene and made a big impact in the enterprise Java development ecosystem. Now that Spring 4.2 is available (and Spring 5 on the way), there's a lot of new features and a lot that you may not know about yet.

Whether you're already working with Spring 4 or are anxious to make a move up, there's plenty of new tricks Spring has in store for you. We'll explore them all in this overview of everything that's new in Spring.

How do you test a Spring application? The easy answer is that Spring encourages loose-coupling through interfaces and dependency injection, therefore it's easy to inject mock implementations at test time.

But, as I said, that's the easy answer.

There's more to testing an application than simple unit-testing. And the most challenging parts of an application to test are the external edges such as the web and database portions. It's difficult to inject a mock user into a web application; and injecting a mock database doesn't give any confidence that persistence code will work with a real database.

In this session, we'll look at various ways that Spring and Spring Boot help with testing the tough-to-test portions of an application.

You wouldn't write your entire application in a single main() method or servlet. Nor would you develop an entire production-ready application in a single class. It's even unlikely that you'd cram everything into a single package.

Modularity helps us gain order in our code, breaking it into easily digestible, refactorable, pluggable, and testable chunks. Classes and methods are a form of modularity that we're all familiar with. But once the code is built, modularity goes away and we're left deploying a single WAR file.

Aside from being buzzword-compliant, Microservices are a means of defining entire systems from composable, but distinct deployment units gaining all of the benefits of finer-grained modularity. As it turns out, Spring is well-equipped as the platform on which we can build and deploy microservices.

In this session, we'll examine the details of microservices and explore the features of Spring, Spring Boot, and Spring Cloud that enable you to achieve modularity via microservices.

Didn't you hear the news? TDD is dead. Yet many developers rely on it for quality code. Come join the zombie apocalypse and learn and understand TDD, what sets it apart from unit testing after the fact, what to do when you need to update code, effective mocking, automatically generating test data and lots of it, leaving code alone and respecting your work, and more

This presentation will cover:

• What is TDD?
• Benefits of TDD
• How to TDD
• Mocking
• The Great TDD Debate
• Opinions of TDD from Industry Leaders
• JVM Testing Tools
• JVM Testing Languages
• Testing Static Calls
• Updating Code

This 2015 presentation covers the Guava library developed by Google. Guava provides collection extensions to the Java Collection API and, along with this, a cornucopia of time-saving utilities that bring Java as close as possible to some of the more functional
and/or dynamic language competitors like Scala, Ruby, and Clojure. Why a brand spanking new 2015 version of this presentation? Well, there more new stuff to learn and use!

This presentation covers briefly on the tried and true stuff like functions, predicates and how they interact with Java 8. It covers how to use new collection constructs that make life easier, including MultiMap, BiMaps, and MultiSets, immutable collections, handling Futures with callbacks and shutdowns, caches, and then we will dwell on tons of the newer features that came with Releases 16, 17, and 18.

Big up front design is discouraged in agile development. However, we know that architecture plays a significant part in software systems. Evolving architecture during the development of an application seems to be a risky business.

In this presentation we will discuss the reasons to evolve the architecture, some of the core principles that can help us develop in such a manner, and the ways to minimize the risk and succeed in creating a practical and useful architecture.

In some organizations, architects are dismissed as people that draw box and arrow diagrams - the dreaded whiteboard architect. While we don't want to foster that stereotype, it is important for an architect to be able to construct basic architectural diagrams. An architect must also be able to separate the wheat from the chaff eliminating those models that don't help tell the story while fully leveraging those that do.

In this workshop, we'll discuss the various diagrams at our disposal. We'll walk through a case study and as we go, we'll construct a set of diagrams that will help us effectively communicate our design. We'll talk about stakeholders and who might benefit from each typ of diagram. Additionally we'll discuss how to constructively review an architectural model.

Workshop Requirements

Neither a laptop nor special software is required for this workshop though your modeling tool of choice (Spark, Visio, OmniGraffle, etc.) is welcome for the exercises. Of course paper and pencil are very effective too and frankly recommended! Feel free to work in pairs or teams. That's it! Well, and a willingness to participate!

In some organizations, architects are dismissed as people that draw box and arrow diagrams - the dreaded whiteboard architect. While we don't want to foster that stereotype, it is important for an architect to be able to construct basic architectural diagrams. An architect must also be able to separate the wheat from the chaff eliminating those models that don't help tell the story while fully leveraging those that do.

In this workshop, we'll discuss the various diagrams at our disposal. We'll walk through a case study and as we go, we'll construct a set of diagrams that will help us effectively communicate our design. We'll talk about stakeholders and who might benefit from each typ of diagram. Additionally we'll discuss how to constructively review an architectural model.

Workshop Requirements

Neither a laptop nor special software is required for this workshop though your modeling tool of choice (Spark, Visio, OmniGraffle, etc.) is welcome for the exercises. Of course paper and pencil are very effective too and frankly recommended! Feel free to work in pairs or teams. That's it! Well, and a willingness to participate!

Functional Programming is now a dominating force and comes with a baggage of terms that sound more like diseases than software design. In this two part series we break down and learn enigmatic terms like higher order functions, type classes, ad-hoc polymorphism, types vs. kinds, functors, applicatives, monoids, and monads. The attempt for this presentation is to make huge mathematical topics understandable and to explain when and where such design structures can help you in your daily development.

In Part 1: We analyze higher order functions, type classes, ad-hoc polymorphism, types, vs. kinds, and functors. This presentation will use a variety of JVM languages and will also include some Haskell where much of these terms will come from.

Functional Programming is now a dominating force and comes with a baggage of terms that sound more like diseases than software design. In this two part series we break down and learn enigmatic terms like higher order functions, type classes, ad-hoc polymorphism, types vs. kinds, functors, applicatives, monoids, and monads. The attempt for this presentation is to make huge mathematical topics understandable and to explain when and where such design structures can help you in your daily development.

In Part 2: Applicatives, Monoids, and Monads. This presentation will use a variety of JVM languages and will also include some Haskell where much of these terms will come from.

The Semantic Web and its related technologies provide an incredibly powerful model for driving the cost of data integration down to nearly zero. So, how do we deal with developers who are overwhelmed, frightened or annoyed by its data models and formats?

We really do not have to devolve into Webs of Haves and Have nots when it comes to semantically rich, interoperable data and modern application tools, frameworks and user interfaces. There is a surprisingly simple mechanism by which “normal” developers can benefit from the power of the Semantic Web and the latter's developers can integrate with the panoply of tools and toys under constant development by the former.

The trick is JSON-LD. A simple, but deliberately designed extension to JSON that bridges both worlds and is finding its way into many other uses by the likes of Google and GitHub.

We will learn about:

• the JSON-LD format
• how to frame, sign and validate it
• how to convert it to/from RDF
• how to describe Hypermedia systems with Hydra and JSON-LD
• how to embed and consume JSON-LD in HTML documents
• how JSON-LD is being used in a variety of mass market ways

Encryption is a powerful tool for privacy. At least that is what we're meant to think.

If you consider encryption to be a black box of magic, you should probably attend this talk.
If you think encryption will protect your secrets, you should probably attend this talk.
If you have (or haven't) been following the news, you should probably attend this talk.

The truth is, encryption can be an effective way of making it harder for people to steal your secrets. But it isn't magical, it isn't fool proof and, depending on how you are using it, may be completely useless. It is a hard topic that we'll only touch the surface on, but there are very few topics that are more crucial for our industry and profession to understand better than encryption. You don't have to understand the math (although that will help), but you do have to understand what it will and won't do for you*.

*and how implementations of it may have been intentionally compromised

If you're not terrified, you're not paying attention.

Publishing information as webs of data does not require us to just give it away. We have a series of tools and techniques for managing identity, authentication, authorization and encryption so we only share content with those we trust.

Before we tackle Web Security, however, we need to figure out what we mean by Security. We will pull from the worlds of Security Engineering and Software Security to lay the foundation for technical approaches to protecting our web resources.

The cost of integrating information isn't cheap. Well, at least it isn't if you do it wrong. Chances are, you're doing it wrong.

The single most difficult aspect of data integration is the effort to achieve consensus. It isn't just that we are disagreeable people. It's also that it is a fantasy that there is a “common model” or a “global truth”. Different groups and individuals see the world differently and have different needs from information systems. Language, and therefore what we call things, isn't simply reflective of reality. It plays a constructive and interpretive role.

The problem is that our technologies force us to make choices about world views and pretend that things aren't changing constantly. This yields fragile systems and high impedance to change that cascades through our organizations. This translates to expensive, rigid and difficult to extend failure to give the business what they want.

Our friend Tim Berners-Lee and his Happy W3C Merrymakers have given us a set of technologies to help us solve these problems though. We forget that the Web he designed was not the public Web, but one to solve integration needs for complex organizations like CERN. The HTML bit that we have gotten so excited about is but a small part of the vision. We will introduce RDF and SPARQL as enabling technologies. They do not necessarily replace what you already have, but they do make it possible to share information with people you've never talked to: Collaboration without Coordination.

“Computers are useless. They can only give you answers.” –Picasso

If everything is explicitly described in uniform, robust and comprehensive data models, it is easy to imagine how to ask questions of the data. The social, technical and financial costs of getting the information into that state, however, will keep that from ever being a reality. So, how can we integrate and reason over choppy and sloppy data from multiple sources in a variety of formats? We will see how the RDFS and Web Ontology Language (OWL) W3C standards help us connect and reason over content that leaves things unsaid without writing a bunch of custom code.

This is not artificial intelligence, but it is influenced by work done in that field.

At the intersection of Big Data, Data Science and Data Visualization lives a programming language that ranks higher on the TIOBE index than Scheme, Fortran, Scala, Prolog, Erlang, Haskell, Lisp and Clojure.

The R language and environment is an open source platform that has quickly become THE language for analyzing data and visualizing the results. This talk will introduce you to the language, the environment and how it is being used with Big Data and Linked Data.

You don't need to be a stats head to attend this session. We'll introduce some basic concepts. If you are a stats head, there is plenty of material that you will still enjoy.

• History of R
• Language basics, data types and main structures
• Some statistics fundamentals
• R Graphics
• R and Big Data
• R and Linked Data

Java 8 is the biggest change to the Java language ever. The addition of lambdas, functional interfaces, and streams fundamentally changes the programming model for applications. This talk summarizes those changes, along with optionals, method references, and other new features of the language.

Demonstrations will include the map/filter/reduce mechanism, the streaming API, how to write functional interfaces, predicates, suppliers, consumers, method references, default methods in interfaces, optionals, and more.

Find yourself overwhelmed with hundreds of to-dos? Is your hard-drive littered with dozens of killer ideas that you started with enthusiasm and then just fizzled away? Do you feel like you are moving as fast as can but only getting to the wrong place quicker? Well perhaps this session will help.

There are various techniques and strategies available to us today that aim to help with exactly this conundrum - from Getting Things Done ™ to Personal Kanban. Unfortunately it is often easy to be extremely productive using these systems, but not very effective. After all, it's not about getting things done, but getting the RIGHT things done. In this talk we will discuss not only how to get things done, but also attempt to figure out what it is you actually need to be doing.

In this session, I will attempt to show you how you can leverage various strategies to be more effective, knock to-dos out and have fun while doing it. If time permits we will close with an overview of the tools that are available to you, and how you can use these to become a to-do list ninja :)

In this session we will look to see how we can refactor our learning - what tools, and methodologies can we use to help us learn quicker and better - how we can create a store that gives us quick access to information when we really need it.

We all work in an industry in which not only do the tools that we use change ever few years, but one in which we have to shift the very paradigms these tools are built on! Even the most trivial of projects entails tens of different toolkits, frameworks, and languages coming together, and somehow we need to know how to leverage each one. How does one keep up? Despite all our years in schools, and our in-born nature to learn, we often are never taught how to learn. How can we learn faster, and retain even more?

In this session we will take a look at various tools and techniques available to us and see how we can make our learning effective.

The basics of developing for the Android platform will be explored, from setting up the SDK to using the Android Studio IDE and the generated Gradle build files. No previous experience is required, other than a basic knowledge of Java.

After discussing how Android fits into the marketplace, we'll look at creating applications, how to use activities, and working with layouts.

Building on the the previous talk, we'll add intents, customized layouts for alternative configurations, talk about the activity lifecycle, use logging, and more.

We'll deploy to both emulators and connected devices, and change input styles.

This session will move beyond the basics cover Android persistence mechanisms, accessing RESTful web services, and more. We'll look at shared preferences, basic file I/O, and the Sqlite database. We'll also show how to operate off of the UI thread to access data from remote servers.

The application will access JSON data on a remote server, parse the data, and update the user interface based on the response.

At the end of the day, an architect's primary job is to communicate. Not only do we need to make sure our teams understand the design of the system well enough to implement it, we must be able to explain our decisions to an audience that isn't impressed with how many TLAs you can rattle off in one sentence. Successful architects need to seamlessly transition from in depth technical conversations to budget meetings to discussions with end users adjusting the message to fit the audience.

While oral communication is key, good architects also spend a good deal of time putting pixel to screen via email, IM and various architectural documents we're expected to create. We need to write clearly and concisely while also knowing when the best course of action is to pick up the phone or walk to someone's desk.

In this talk, we'll explore the various methods that we as architects use to communicate with our stakeholders. We'll talk about knowing our audience, being able to present as well as how to run a good meeting. We'll discuss various patterns (and antipatterns) of presenting along with some concrete advice on how to do it better. At the end of the day, our job is to tell effectively tell a story - this talk will look at ways to do that.

Good architects are, almost by definition, good story tellers. And while good communication skills are vital to success as an architect, so too is an ability to constructively critique an architecture. In this talk, we'll explore why reviews are important and what it takes to perform them well. Additionally, we'll talk about the importance of planning and preparation in conducting a successful review.

Good architects are, almost by definition, good story tellers. And while good communication skills are vital to success as an architect, so too is an ability to constructively critique an architecture. In this talk, we'll explore why reviews are important and what it takes to perform them well. Additionally, we'll talk about the importance of planning and preparation in conducting a successful review.

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.

Workshop Requirements

• Virtual Box (for windows user please make sure it can run a VM)
• Hadoop Virtual Machine

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.

Workshop Requirements

• Virtual Box (for windows user please make sure it can run a VM)
• Hadoop Virtual Machine

It seems like everyday there is a new headline about a security breach in a major company’s web application. These breaches cause companies to lose their credibility, cost them large sums of money, and those accountable undoubtedly lose their jobs. Security requires you to be proactive. Keep your employer out of the headlines by learning some key security best practices.

This hands-on workshop is designed to teach you how to identify and fix vulnerabilities in Java web applications. Using an existing web application, you will learn ways to scan and test for common vulnerabilities such as hijacking, injection, cross-site scripting, cross-site forgery and more. You will learn best practices around logging, error handling, intrusion detection, authentication and authorization. You will also learn how to improve security in your applications using existing libraries, frameworks and techniques to patch and prevent vulnerabilities.

Workshop Requirements

• Virtual Box 64-bit or alternate virtualization player that can support 64-bit ova files (windows users please make sure you test virtual box ahead of time)
• Kali Linux Varient Virtual Machine
• Docker (Optional)

It seems like everyday there is a new headline about a security breach in a major company’s web application. These breaches cause companies to lose their credibility, cost them large sums of money, and those accountable undoubtedly lose their jobs. Security requires you to be proactive. Keep your employer out of the headlines by learning some key security best practices.

This hands-on workshop is designed to teach you how to identify and fix vulnerabilities in Java web applications. Using an existing web application, you will learn ways to scan and test for common vulnerabilities such as hijacking, injection, cross-site scripting, cross-site forgery and more. You will learn best practices around logging, error handling, intrusion detection, authentication and authorization. You will also learn how to improve security in your applications using existing libraries, frameworks and techniques to patch and prevent vulnerabilities.

Workshop Requirements

• Virtual Box 64-bit or alternate virtualization player that can support 64-bit ova files (windows users please make sure you test virtual box ahead of time)
• Kali Linux Varient Virtual Machine
• Docker (Optional)

Moderns IDEs are great, they let us get our work done, focus on solving problems, provide code prompts, and more. On the flip-side, they hide of lot of details and often do not provide everything to help get our work done. Learning to effectively use the command line, can help us navigate around, write script to automate certain routine tasks, isolate and understand issues, and more.

In this presentation we will lear some ticks and tips we can do on the command line, using some common editors, and general navigation, both for unix-like machines and Windows.

Java is statically typed, but often there are debates about how the typing gets in our ways. Haskell has largely been credited for its static typing and for enforcing the functional programming paradigm. Learning about Haskell can help us program in Java better and even borrow some nice pattern of programming.

In this presentation we will learn about some of the fundamentals of Haskell and also take a look at using Haskell on the JVM.

Java does not permit multiple implementation inheritance, but the problem is not gone. We solve the issue using a bunch of interfaces and classes. Thankfully there are some alternatives, in Java, Scala, and Groovy.

In this presentation we will first learn about the problem, the solution in old Java, then we take up some possible solution in Java 8 and explore the options available in Scala and Groovy.

We all have an innate sense of what's possible. Not only is this how magicians fool you, but it might also be what's holding you back.

In this session Michael Carducci shares how he applied lessons learned in his career as a professional magician to his “day-job” as a software engineer.

Magicians have a simple process for creating new material; think of the most impossible thing you can imagine, the engineer a way to make it possible. Michael has been engineering solutions to “impossible” problems for nearly 20 years and this has given him a unique perspective on dealing with challenges in all aspects of his life.

This talk combines illusion, anecdotes and real-world examples to help identify and overcome your mental obstacles.

Relational databases are the foundation to countless systems but are often abstracted away and ignored until queries start timing out. Learn the essentials of indexing, query tuning and database design; all explained with a deck of playing cards.

We start with the fundamentals: Normalization, the 7 types of joins (that's right, 7!) and internal data structures.

From there we dive deep into how indexes work, performance considerations of indexes and even why the database sometimes ignores your indexes.

Digging even deeper, learn the three ways the database will implement a join. Finally learn some miscellaneous tips to improve your SQL and security.

Being a professional software engineer, it's easy to fall into the belief that one's role in a company is to write code.
Another perspective might be that one's role is to solve problems for the business and that writing code is merely one of several tools available to help solve those problems.

There are numerous problem-solving “anti-patterns” that are rampant in the industry today. “Forewarned is forearmed” as they say. In addition to highlighting these “anti-patterns” with real-life examples and the (sometimes) disastrous consequences, Michael asks some of the difficult questions about our true motivations for our decisions and how our decisions can either positively or negatively affect our team and our organization.

We started with documents on the Web. Then we realized we could share data using the same technologies. And then services. Concepts were next to help us organize all of this information. And now, we want Things on the Internet and Web too. Fortunately, we already have much of the infrastructure to welcome all of these new physical information producers and consumers to the party.

This talk will be a high level overview of how the Internet of Everything scales to accept entire new classes of devices and how we make sense of it all. We will also look toward the future of where we are going next.

In this session, we'll see how to build real Spring applications using Spring Boot. We'll also look under the covers to see what makes Spring Boot tick.

Spring offers a number of configuration options: XML configuration, Java configuration, and Groovy configuration to name a few. To some degree, component-scanning and autowiring help eliminate some explicit configuration. But in general most Spring applications require some essential “bootstrap” configuration to enable key functionality. What's the right way to build Spring applications when there are so many choices?

What if I told you that configuration was optional?

Spring Boot is an exciting new programming model for Spring that makes it extremely easy to create stand-alone, production-ready Spring applications. Rather than writing lots of code to satisfy the needs of a framework, Spring Boot helps you focus your coding efforts on your application. Spring Boot takes an opinionated approach to configuring Spring, making it possible to create Spring applications with little or, in some cases, no Spring configuration at all!

In this session, we're going to combine the magic of Spring Boot and the magic of Spring Data to yield something even more powerful. You'll see how to quickly build an application's persistence layer, whether it stores data in a RDBMS, Mongo, Neo4j, or several other popular data stores. You'll also see how to create a functioning REST API with nothing more than an interface and a domain type.

Spring Boot dramatically simplifies application development with Spring. But before Spring Boot came along, Spring Data was already making developers' lives easy when it comes to working with data. When combined, Spring Data and Spring Boot can make data persistence the easiest part of your application.

Groovy is unusual among programming languages in that it doesn't seek to replace its predecessor. You can freely mix Groovy with Java on a class-by-class, or even line-by-line, basis. If you are working with Java, there's no reason not to make your life easier by adding Groovy where it helps the most.

Groovy helps Java in many ways, especially when processing XML or JSON data, replacing anonymous inner classes, adding tons of library methods that Java has needed all along, vastly simplified file and database manipulation, and much more. This talk will demonstrate how you can add Groovy to Java applications and simplify your development job immediately.

The Gradle build tool is one of the most successful projects in the Groovy ecosystem because it addresses a difficult problem – every major build is a custom build. Gradle builds are written in Groovy, so the full power of the language is available if you need it. Gradle supports Maven project structure and repositories and uses Ivy dependency management without being bound by their normal constraints. With major systems like Grails, Hibernate, and the Spring Framework moving to Gradle, this is a technology worth taking the time to understand.

This talk will cover the basics of Gradle both through simple examples and by examining the build files for major open source projects.

Functional programming is receiving much attention recently. Most mainstream languages, including C++, Java, and C# now support lambda expressions and functional style. Why is there a sudden interest in adapting something that was largely ignored for decades? What are the technical reasons, how do we benefit, in what ways can using these techniques make our applications better and our development efforts easier as well?

In this technical presentation we will learn about the technical underpinnings of functional programming, the fundamental problems they address, and the large impact of those on application development