The Feldera Blog

An unbounded stream of technical articles from the Feldera team

Real-time fraud detection using Feldera and Hopsworksfeature store

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 boringstreaming

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.

What do we mean when we say real-time SQL?real time

What do we mean when we say real-time SQL?

Feldera can run any batch SQL query, but in streaming mode. We illustrate using a SecOps (security operations) demo.

Incremental Computation, a bad case of déjà vuRational

Incremental Computation, a bad case of déjà vu

Incremental Computation, a bad case of déjà vu

Who's accessing your S3 buckets? SecOps solution using CloudTrail, EventBridge and FelderaSecOps

Who's accessing your S3 buckets? SecOps solution using CloudTrail, EventBridge and Feldera

In this blog post, we'll show you an end-to-end example of how you'd build such a solution using Feldera. Consider using Feldera if you'd prefer to build and iterate quickly on your own SecOps analytics.

Real-time feature engineering is hard (but it doesn't need to be). Part 1.

The first in a series of posts on using Feldera to democratize real-time feature engineering.

Streaming queries without compromise

The Feldera Team's talk at the Stream Processing Meetup

DBSP in ACM SIGMOD Research Highlightssigmod

DBSP in ACM SIGMOD Research Highlights

The DBSP paper receives the ACM SIGMOD 2024 Research Highlights Award