Exploring how to structure a DAB project for greater flexibility and scalability by leveraging target-specific resource definitions. While ensuring each deployment environment receives precisely the resources it needs while keeping configurations modular and manageable.
In this blog post, I’m sharing my preparation notes for the Databricks Data Engineer Professional Exam. I hope these will help you gather study resources and gain a better understanding of what to focus on during your preparation for the exam.
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.