Developer Voices

Every business deals in data, but the internet age has ushered in an explosion of the number of different data formats we have to process from a number of different databases to get the job done. Ask any Data Scientist, and they’ll tell you a huge part of their job isn’t data science - it’s data engineering. Acquiring, processing and shipping data, and above all, understanding it. We’ve always had that task in the IT world, but these days it’s a whole discipline.Today’s podcast sits down with the author of “The Fundamentals Of Data Engineering” to survey the landscape. To understand what data engineering is, and go deep into what a data engineer needs to understand to succeed.

In this episode we're exploring the Kotlin programming language with an expert from Google. What does Kotlin have to offer? Is it just a Java alternative, or has it turned into something much more ambitious? Along the way we manage to discuss Scala, Function Programming vs. Object Orientation, Editors, Higher Kinded Types, Elm, React, UI architectures and multiplatform programming. A very full episode!Happy Path Programming - Haskell is not as scary as you think: https://pod.link/1531666706/episode/710a605d605fda251f2e83b8858615b8The Kotlin Programming Language: https://kotlinlang.org/Android Studio: https://developer.android.com/studioKris on Twitter: https://twitter.com/krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/

AI is the new hotness, but with new approaches come new problems of scale. How do you make raw data accessible to teams of data scientists and model-builders? How do build a repeatable deployment pipeline? And how do you monitor your models once they're in production? Today's episode goes through all these reality checks with author and expert Adi Polak, who's just released a new book on the subject.Scaling Machine Learning With Spark (book): https://www.oreilly.com/library/view/scaling-machine-learning/9781098106812/Kris on Twitter: https://twitter.com/krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/

Louis Pilfold joins us to talk about Gleam, a new language that runs on Erlang's BEAM. In creating Gleam, Louis has tried to bring a new level of developer-friendliness to Erlang's famously fault-tolerant platform.If you're interested in building reliable distributed systems, exploring functional programming, learning new languages or finding out what it takes to design your own language, Louis is here to talk us through it all.The Gleam language: https://gleam.run/Gleam’s package repo: https://packages.gleam.run/Gleam on Twitter: https://twitter.com/gleamlangKris on Twitter: https://twitter.com/krisajenkinsKris on LinkedIn: https://www.linkedin.com/in/krisjenkins/