Scala 3 and Spark?

After the release of Scala 3, one of the most common questions asked by developers was: “When will we be able to write Spark jobs using Scala 3?”. Up till now, the answer was: “Not yet” but everything changed after the release of Spark 3.2.0, which brought Scala 2.13 support.

Going hybrid: Meet the future of work!

##hybridwork #VLTeam

Make your tech dreams come true with VirtusLab!

#Hoogle #kotlin #Scala

Get to know better #VLteam! – The Address Team

Meet the Address Team responsible for storing and providing information about all kinds of addresses, wherever our client (a top global retailer) delivers orders.

##Address #java #VLTeam

pandas-stubs — How we enhanced pandas with type annotations

#Machine Learning

Handling big, nested, and growing table schemas in data pipelines

#big data #Data

Get to know better #VLteam! – The Data Team

In this article, we want to shed some light on how we work in the Data Space and how we managed to use our Scala experience to become proficient in Apache Spark and extend our capabilities to Python and Machine Learning over the last couple of years.

#Data #VLTeam

Friction-less Scala

#friction #Scala #scala3

Another office in Cracow!

#Cracow #growth #office #VLTeam

How to flourish in a distributed project – a guide for the augmented team

Not since today, we know that IT projects can be distributed. It means that multiple teams are involved in the process and can be split geographically and towards many organisations. There are many challenges you will meet when joining a project that is a part of something bigger.

##teamaugmentation #guide #nearshoring
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