After Xavier Tordoir from Kensu, Andy Petrella joined our offices to do a second “Lightbend Spark for scala-Professional course”. As introduced 2 weeks ago this course allows Full Stack Developers and DevOps to dive into the world of modern Data Analytics.
Some of the participants decided to take the dive. Maria Dominguez and Sandeep Purohit both Software engineer at Lunatech followed this course with particular attention. Indeed Maria and Sandeep want to be Lightbend certified trainer as well. Maria explains why she decided to do this:
Spark is a very nice engine for big data processing that I had the opportunity to use in a previous Lunatech project. I could experiment with the Machine Learning API and train and use models to make predictions on real time data. New useful features have been added to Spark since then, which make it even more attractive for use cases in the big data world. Becoming a trainer in such a technology is a great idea because it will allow me to easily bring its contents to more people in a more efficient way.
Having a Lightbend certification is a guarantee of sharing best practices for developing Spark applications with Scala. When a company like Lightbend, which counts with Spark as part of its Fast Data Platform, certifies that you can be one of the trainers, that means that you are fully qualified to show Spark’s usage and advantages to others. That translates directly into a benefit for Lunatech, as having certified trainers as part of the company will improve the expertise within the company, as well as scheduling trainings for the employees can be done directly.
Streaming data processing, enrichment, analysis, machine learning… there is indeed a broad umbrella of use cases for Spark, so yes, I see a lot of opportunities to use Spark. Considering the evolution towards big and fast data, I believe there will arise even more projects to be implemented using Apache Spark.