The Feldera Blog
An unbounded stream of technical articles from the Feldera team
Storage has shipped!
Feldera's new storage engine analyzes more data in less memory
Incremental Update 2
A quick overview of what's new in v0.21.
RocksDB: Not A Good Choice for a High-Performance Streaming Platform
We go over our findings when trying to use RocksDB as our storage engine
Rolling Aggregates: the Most Important Feature in Your Real-Time Fraud Detection Pipeline
We explore rolling aggregation--a critical tool in the real-time fraud detection arsenal
Optimizing Kafka input performance
What can we do to our code and our data to maximize Kafka input performance?
Your Streaming Analytics Use Case Needs More State Than You Think
There are two types of streaming users: those who believe their workload fits in memory and those who already know it won't.
Real-time fraud detection using Feldera and Hopsworks
Implementing a real-time fraud detection pipeline using Feldera and the Hopsworks feature store.
Let's make streaming analytics boring
How can we make streaming analytics as user-friendly as batch analytics? Working back from the ideal user experience, we identify the issues with current streaming tools, and explore ways to address them.
Real-time feature engineering with Feldera. Part 2.
We put Feldera to work to implement real-time feature engineering for credit card fraud detection on top of a Delta Lake.