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Brian Sletten

Forward Leaning Software Engineer @ Bosatsu Consulting

Brian Sletten is a liberal arts-educated software engineer with a focus on forward-leaning technologies. His experience has spanned many industries including retail, banking, online games, defense, finance, hospitality and health care. He has a B.S. in Computer Science from the College of William and Mary and lives in Auburn, CA. He focuses on web architecture, resource-oriented computing, social networking, the Semantic Web, AI/ML, data science, 3D graphics, visualization, scalable systems, security consulting and other technologies of the late 20th and early 21st Centuries. He is also a rabid reader, devoted foodie and has excellent taste in music. If pressed, he might tell you about his International Pop Recording career.

Presentations

Semantic Web Workshop

9:00 AM MDT

The Web is changing faster than you can imagine and it is going to continue to do so. Rather than starting over from scratch each time, it builds on what has succeeded already. Webs of Documents are giving way to machine-processable Webs of Information. We no longer care about data containers, we only care about data and how it connects to what we already know.

Roughly 25% of the Web is semantically marked up now and the search engines are indexing this information, enriching their knowledge graphs and rewarding you for providing them with this information.

In the past we had to try to convince developers to adopt new data models, storage engines, encoding schemes, etc. Now we no longer have to worry about that. Rich, reusable interface elements like Web Components can be built using Semantic Web technologies in ways that intermediate developers don’t have to understand but end users can still benefit from. Embedded JSON-LD now allows disparate organizations to communicate complex data sets of arbitrary information through documents without collaboration.

Perhaps the concepts of the Semantic Web initiative are new to you. Or perhaps you have been hearing for years how great technologies like RDF, SPARQL, SKOS and OWL are and have yet to see anything real come out of it.

Whether you are jazzed or jaded, this workshop will blow your mind and provide you with the understanding of a technological shift that is already upon us.

In this workshop, we will:

Explain the Web and Web architecture at a deeper level
Apply Web and Semantic Web technologies in the Enterprise and make them work together
Integrate structured and unstructured information
Create good, long-lived logical names (URIs) for information and services
Use the Resource Description Framework (RDF) to integrate documents, services and databases
Use popular RDF vocabularies such as Dublin Core, FOAF
Query RDF and non-RDF datastores with the SPARQL query language
Encode data in documents using RDFa and JSON-LD
Create self-describing, semantic Web Components
Model and use inferencing with the Web Ontology Language (OWL)

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10:30 AM MDT

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

REST Workshop : I

1:30 PM MDT

Many people are drawn to the ideas of REST but aren't sure how to take the next steps. This workshop will help get you to a comfortable place by introducing the concepts and walking through a series of exercises designing REST APIs from a variety of domains.

This workshop will span two session periods but is one effort. Please plan on coming to both.

We will break up into teams and tackle the various aspects of a solid, stable, evolvable REST API design. This will not be a tutorial in particular REST implementations (Jersey, Restlet, etc.). The ideas will transcend specific technologies although we will talk about some particular choices.

REST Workshop : II

3:15 PM MDT

Many people are drawn to the ideas of REST but aren't sure how to take the next steps. This workshop will help get you to a comfortable place by walking through a series of exercises. Bring your computers and bring your brains we will be designing, building and testing REST APIs from a variety of domains.

This workshop will span two session periods but is one effort. Please plan on coming to both. Please bring a computer with a late model Java VM on it and a text editor. curl will also be useful. I will provide the remaining bits.

We will break up into teams and tackle the various aspects of a solid, stable, evolvable REST API design. This will not be a tutorial in particular REST implementations (Jersey, Restlet, etc.) but if you have one you are familiar with, you are free to use that for the code portion of the solutions. I will provide a NetKernel-based framework as it is a self-contained, REST-savvy environment that is easy to get going with. The ideas will largely transcend specific implementations though.

Resource-Oriented Architecture Patterns for Webs of Data

5:00 PM MDT

The surge of interest in the REpresentational State Transfer (REST) architectural style, the Semantic Web, and Linked Data has resulted in the development of innovative, flexible, and powerful systems that embrace one or more of these compatible technologies. However, most developers, architects, Information Technology managers, and platform owners have only been exposed to the basics of resource-oriented architectures.

This talk, based upon Brian Sletten's book of the same name, is an attempt to catalog and elucidate several reusable solutions that have been seen in the wild in the now increasingly familiar “patterns” style. These are not turn key implementations, but rather, useful strategies for solving certain problems in the development of modern, resource-oriented systems, both on the public Web and within an organization's firewalls.

Polymer: Shadow DOMS, Custom Components and the Future of Web

8:30 PM MDT

Enough with the darn JavaScript frameworks already! There's nothing wrong with a judicious use of this ubiquitous programming language, but it's gotten a little out of hand. What if there were an evolvable future state of declarative and encapsulated user interface elements that was available today in most modern browsers?

There is! The Polymer Project is a young but impressive glimpse into where things should go.

It's goals are:

  • Use the platform
  • Everything is an element
  • Eliminate boilerplate

This talk will introduce you to:

  • The Polymer Project
  • The strategy for supporting today's browsers with tomorrow's technologies
  • Application frameworks that build upon these core technologies
  • Custom visual and non-visual elements
  • The underlying W3C Specifications that engender all of this

R : Workshop I

1:30 PM MDT

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 workshop will introduce you to the language, the environment and how it is being used with Big Data and Linked Data.

In the first part of the workshop, we will learn:

  • History of R
  • Language basics, data types and main structures
  • Some statistics fundamentals

R : Workshop II

3:15 PM MDT

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 workshop will introduce you to the language, the environment and how it is being used with Big Data and Linked Data.

In the second part of the workshop, we will learn about:

  • R Graphics
  • R and Big Data
  • R and Linked Data