In this article let us see how to use Databricks Workflows for scheduled jobs, why you might choose it over bringing in a separate orchestrator, and what it looks like in a simple real project. If ...

In this article let us see how to get started with GCP Dataflow for a simple batch pipeline, and why you might choose this approach when you want Google to manage most of the heavy lifting for runn...

In this article, let us see what BigQuery partitioning and clustering are, why we would use them, and how to get started with them using a simple example. If you are working with BigQuery tables th...

In this article, let us see how to get started with AWS CDK for data platform work and why you might want to use it instead of creating resources manually from the AWS Console. If your team builds ...

In this article let us see how to use AWS Step Functions for orchestrating a simple data pipeline and why this approach is useful when you want something more structured than a set of Lambda trigge...

Infrastructure as code is no longer something only a platform or DevOps team needs to care about. In many data engineering projects, the same person who builds a pipeline also needs to provision th...

In this article, let us see how to use GitHub Actions for a simple data pipeline CI/CD setup and why this approach is useful for a small team. If you have a lightweight ETL job, a dbt project, or a...

In this article, let us build our first Apache Airflow DAG for a simple ETL pipeline. If you are starting with data engineering, you will quickly notice that writing the transformation code is only...

In this article let us understand Apache Iceberg and Delta Lake from a beginner point of view, why these table formats became popular, and when you might choose one over the other. If you are build...

Getting Started with Delta Lake: A Practical Guide for Data Engineers If you’re in the data engineering space, you’ve probably heard the buzz around Delta Lake. It’s been gaining traction as a go-...