Daniel Hinojosa

Northern Virginia Software Symposium

Reston · April 20 - 22, 2018

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Independent Consultant

Daniel is a programmer, consultant, instructor, speaker, and recent author. With over 20 years of experience, he does work for private, educational, and government institutions. He is also currently a speaker for No Fluff Just Stuff tour. Daniel loves JVM languages like Java, Groovy, and Scala; but also dabbles with non JVM languages like Haskell, Ruby, Python, LISP, C, C++. He is an avid Pomodoro Technique Practitioner and makes every attempt to learn a new programming language every year. For downtime, he enjoys reading, swimming, Legos, football, and barbecuing.

Presentations

Unveiling Kafka and Streaming

Kafka has captured mindshare in the data records streaming market, and in this presentation, we knock on its door and see what lies behind. What is the draw? What makes it an attractive addition? How does it compare to Message Queues and other message streaming services?

Beginning Spark

Apache Spark is the fast data processing of large document stores and databases. Spark is highly distributed, optimized, and redundant for large clustering manipulation and aggregation.

Spark Streaming

Spark Streaming is one of the few additions that are available with Spark that uses its internal architecture and creates a Streaming processing framework to process data in real time.

The Java Sessions: Reactive API

Many have already seen what Reactive Streaming can do: RXJava, Akka Streams, Project Reactor. Now reactive streaming is a part of the canonical package for Java and now we can handle asynchronous pipelines with boundaries and make better well thought out applications

Java Serialization for Big Data

Serialization is important for anything Big Data. We need to send information over the wire and we need to do so efficiently. This core concept presentation covers various serialization techniques and libraries. That way you can use Akka, Kafka, Spark, and various MQs efficiently

Testing Legacy Code & Avoid Mocking

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?

Introduction to Vert.x

Vert.x is one of many reactive offerings on the JVM. Vert.x has everything for reactive to messaging, handlers for data, to even converters for other streaming frameworks like RX Java.