Daniel Hinojosa

Art of Streaming

8:30 AM MDT

An overview of various popular streaming technologies on the JVM: Kafka Streams, Apache Storm, Spark Streaming, Apache Beam. Discuss “the bill of rights” of what to expect of all streaming libraries and frameworks, security, failover, exactly once processing.

Streaming is now an essential part of our life. We have cheaper drives, faster networks, and more memory. We can haul tons of data, but we need to process that data, manipulate and enrich. To do so we need some sort of streaming solution. Let's look at the most common ones and expose the differences and similarities between frameworks so you, the attendee, can make a better decision.

Kafka Streams and KSQLDB

10:30 AM MDT

Kafka is more than just a messaging queue with storage. It goes beyond that and with technology from Confluent open source it has become a full-fledged data ETL and data streaming ecosystem.

When we utter the words, Kafka, it is no longer just one component but can be an entire data pipeline ecosystem to transform and enrich data from source to sink. It offers different ways to handle that data as well. In this presentation, we define:

• Streaming Concepts
• Using functional programming to manipulate your data
• Co-partitioning
• Aggregations

We then discuss KSQLDB. A SQL layer built upon Kafka Streams that provides a simple query language to perform streaming operations

• Persistent Queries
• Non-Persistent Queries
• Fault-Tolerance

Machine Learning with Spark MLLib

1:00 PM MDT

Spark has a machine learning aspect to it and it's called Spark MLLib. We discuss an intro into machine learning, some models, then apply some of those common machine learning models.

You may also already know what Spark is, if not, well, we will either introduce it again or remind you. We will go over a quick introduction to its purpose. Then we will go all Machine Learning on it. We will have a discussion of the purpose of data science, what the rigors are with data science and then apply this data into Spark MLLib. We will discuss the various models and then apply various data into Spark in order to achieve some insight into the data you have and have currently been aggregating.

GRAAL The Magnificent!

9:00 AM MDT

Graal is a VM and an awesome VM at that. Able to run a variety of languages and fast. The execution times can be impressive too. This VM can run anything, JavaScript, Python 3, Ruby, R, JVM-based languages like Java, Scala, Kotlin, and LLVM-based languages such as C and C++.

We are living in truly exciting times. So much interesting technology including the VM space. Graal is a virtual machine and shared memory system for multiple languages. GraalVM can either run standalone or embedded in OpenJDK or node.js. Graal can even embed inside databases such as MySQL or Oracle. In the presentation, we look at this exciting VM, how to start it, how to run polyglot applications, and how to integrate all within the same VM.

Scala - What's New and Interesting?

11:00 AM MDT

Let's take a look at some of the cool new stuff that we can use. This presentation will assume basic Java knowledge and no Scala knowledge is required.

Our presentation will do a quick little intro, and then we will proceed right into some of the new features.

• Trait Parameters
• New Implicit Forms for Typeclasses
• Inferable Parameters
• Extension Methods
• Creator Applications
• Actual Enumerations and Abstract Data Types

Again, worth reiterating, no previous Scala knowledge required. Bring questions and your curiosity!

Testing Legacy Code & Avoid Mocking

3:15 PM MDT

Our jobs usually deal with something other than new code. It is usually old spaghetti and difficult-to-read code. How do we test such code? How do we get through it? How can we surgically remove and make some of this harmful code testable?

This session looks at lousy code, and we talk about some strategies we can do to diagnose, test, apply, and finally refactor to produce something that would promote some sanity in your development process. We can do much with our code to make it better and testable while avoiding extensive mocking. The content of this course is all in Java and JUnit.

Grokking Generics

5:00 PM MDT

For those still grappling with Generics. This will be an attempt to clear the air about generics. What are wildcards? What is extends? What is super?  What is covariance? What is contravariance? What is invariance? What is erasure? Why and when do I need this?

Generics or parameterized type is one of the more pain items in any statically typed language on the JVM. This presentation is set to overcome some of these hurdles and understand some of these confusing terms. We will cover the following:

• Covariance
• Contravariance
• Invariance
• Erasure
• Generic Assignments
• Weird Generic Funky Stuf
• Use-Site vs. Declaration-Site Variance
• Differences between Java vs. Scala vs. Kotlin

TypeLevel Cats: Why You Need to Know it!

9:00 AM MDT

Imagine toString, equals, and hashCode in a single class. Can you change implementations on the spot? Probably not, there may be too many dependencies on your implementation. Time to break out an adapter pattern, a utility class, or better yet, a type class! A type class is a kind of template in very static functional programming languages. Imagine a template that can read, write information as a side effect as well? Type classes are powerful.

For these various type-classes, we will be looking at a project called TypeLevel Cats. TypeLevel is a group of projects that adhere to a code of conduct, modular systems, static, functional, open source programming. TypeLevel Cats is the flagship project for Typelevel.

Our presentation will be following this story:

• Just a tiny bit of Scala
• Introduction to an implicit
• Introduction to a typeclass
• Using Cats
• Eq
• Monoid
• Monad
• Functors

Even if you are not a Scala Programmer, you may want to come in and see how type classes work because I am making a bet… This will be something that will be used by other JVM languages in the future. Kotlin doesn't have it now, Groovy doesn't have it now, TypeScript doesn't either although some projects are working towards this idea.