Episode 92. Not your Grandpa's Serialization!
Listen now
Description
Ah, Serialization... the bane of every Java Developer! If you are still using ObjectOutputStream, and Serializable, then you do want to listen to this episode! We move past the objectoutputstreams to what most people are running into these days! (Starting with 2001 and JaxB... and then moving forward from there to Json, and in Part 2...protobuf and thrift!). But oh, no all serialization is equal, and there are tradeoffs are we go through the different serialization / deserialization libraries (Convenience, Speed, Rigor? all these are things that one need to take into account when choosing a serialization strategy). So take a listen (and watch the video if you want to follow along) as we explore the interesting and great world of Java serialization frameworks! FOLLOW US JavaPubHouse on twitter! Where we will be sharing new tech news, and tutorials!   We thank DataDogHQ for sponsoring this podcast episode Don't forget to SUBSCRIBE to our cool NewsCast! Java Off Heap Towards Better Serialization (or...why we should skip Java's Native Serialization) Introduction to JaxB Guide to JaxB Jackson Serialization Jackson tutorial Do you like the episodes? Want more? Help us out! Buy us a beer! And Follow us! @javapubhouse and @fguime and @bobpaulin
More Episodes
Allright, it is time to pull the curtain on all this AI stuff and really learn how it works! On this episode we dive deep into AI, and Neural Networks, refinenements, vector databases (and why we need them) so you can understand the underlying principles of AI and LLM! The field is so vast,...
Published 08/13/24
So we continue to have guests in our show to talk to us about interesting things... This time is about Apache Tika. This is an incredible tool to do search file processing and metadata extraction. Think about that you have tons of unstructured files, like emails, or documents, and you want to...
Published 04/19/24
We have a great time talking to Matt Topol from Voltron Data on one of his Apache Software Foundation projects called Apache Arrow. It's both a spec and implementation of a columnar data format that is not only efficient, but cross-language compatible. We walk through the scenarios that it covers...
Published 03/19/24