Daniel Hinojosa
Lone Star Software Symposium: Dallas
Dallas · May 18 - 20, 2018
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.
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