In this blog, I want to have a look at my experience towards my newest certificate: Databricks Data Engineer Associate. I’ll cover why I pursued the certificate, how I prepared, and my thoughts on the resources and the exam itself. 

After my first year of working with dbt at Digital Hive I was encouraged as part of my growth path to take the dbt Analytics Engineering Certification Exam dbt Analytics engineer certification exam | dbt Labs and passed. As with most exams, things are never as they seem. With this blog I want to provide future exam participants with some pointers that could help them improve their preparation process for the exam.

Discover how to orchestrate Snowflake SQL queries using Apache Airflow efficiently. We compare three approaches and explain when to use each for optimal performance. Read the blog to enhance your data pipeline orchestration.

In this post we dive into how you can safely handle source data inconsistencies using the Snowflake tool stack.

In this post, we’ll break down how to use the --select and --exclude options with dbt build and how combining them can supercharge your workflow.

When querying an external stage you should be aware of the following limitations. You may encounter an error 001057, which relates to ...

A Python-based tool like Streamlit can be invaluable for quickly building, deploying, and sharing a POC.

After getting certified for SnowPro Core, we want to share the journey one of our data consultants took to pass this certification.

Getting certified with dbt will test your knowledge of the framework. Read this blog for some tips and guidance to make sure you are ready.

Transitioning from legacy ETL tools to DBT? Our blog walks you through using the DBT audit_helper library.

Currently there is a bug in snowflake with zero-byte (0b) and one-byte (1b) files. This blog gives you the details and how to fix it.

This comparison of Spark pools in Microsoft Synapse and Microsoft Fabric helps you choose the right platform for your compute needs.