In the 7th part of our blog post series “processing GDELT data with SCDF on kubernetes” we will use spring cloud stream’s built-in support for spring cloud functions to implement a sink as a simple consumerfunction.
In the 6th part of our blog post series “processing GDELT data with SCDF on kubernetes” we will use spring cloud stream’s built-in support for spring cloud functions to implement a processor as a simple function.
In the 5th part of our blog post series “processing GDELT data with SCDF on kubernetes” we will use spring cloud stream’s built-in support for spring cloud functions to implement a Source as a simple Supplier function.
In the 4th part of our blog post series “processing GDELT data with SCDF on kubernetes” we will reimplement the deduplication filter from the last post as a kafka streams application including custom SerDes.
In the third part of our blog post series “processing GDELT data with SCDF on kubernetes” we want to filter the stream created in the last post as it contains a lot of duplicate data.
In the second part of our blog post series “processing GDELT data with SCDF on kubernetes” we will create a custom source application based on spring cloud stream to pull GDELT Data and use it in a very simple flow.