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Author: Admin | 2025-04-28
Synapse Serverless Spark — Bicep Approach!A new Abstraction layer was introduced with Bicep, replacing the famous ARM templates, as deeply explained in a previous article, “Bicep — Sustainable Coding!”. No high learning curve is required anymore. We can start coding straight away using Bicep configuration files.This is what we will be doing in this blog post. Even better, we`ll do it with the newly born Azure Synapse Serverless Spark Pool.For details regarding Bicep & Synapse, please refer to earlier posts:Azure Synapse Analytics — A Game Changer (Coming Soon!)Bicep — Sustainable Coding!Now let’s focus on the best approach in provisioning Synapse Spark, all-in-all while keeping Code-Quality in mind.Azure Synapse — Serverless SparkBefore moving forward, please note that ‘Synapse Apache Spark Pool’ is also called/known as: ‘Serverless Spark Pool’, ‘Apache Spark Pool’, or even ‘BigData Pool’. (To avoid any possible confusion!)Infra As Code — Bicep ApproachTo be able to proceed and follow with the next steps, I recommend having the below prerequisites:- An active Azure Subscription- Bicep binary (Local or via Azure CloudShell)- Azure PowerShell or Azure CLI (Local or via Azure CloudShell)- A Resource Group and a Synapse Workspace already provisioned.- Least-privileges to deploy/destroy resources in a Resource Group and within the target Azure Synapse Workspace.Well settled!? Let’s do it!Synapse SparkPool— Bicep ImplementationAzure Synapse Analytics is a complex service to deploy. Even with Bicep, this could lead to challenges in code maintainability.The best approach will be to rely on Bicep modules. It is where we create reusable elements for each entity,
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