Many organizations rush into MLOps without a structured approach, leading to fragmented infrastructure and duplicated efforts. In this post, we’ll explore how Feature Stores help streamline ML workflows, ensuring scalability and efficiency.
I’ve put together a collection of resources I’ve used while preparing for various certification exams – covering everything from AWS to Databricks. The focus is mainly on data engineering and machine learning topics.
In this blog post, I’m sharing my experience taking the Databricks Generative AI Associate exam – from study notes to resources that made a difference. Whether you’re just starting your prep or looking for extra insights, this guide will help you find the right resources to get prepared.
Exploring ways of handling irregular and sudden bursts of multiple files for data processing using event driven architecture on AWS. This blog posts showcases how to use S3 notification with EventBridge to trigger a Glue Workflow that has number of events and batch window trigger conditions.
I’m thrilled to present pytransflow, a Python library I developed in my free time. pytransflow simplifies record-level processing through transformation flows defined in YAML files. I hope you find this library engaging and that it sparks your interest to both use and contribute to it.