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DevOps Strategies for Azure Synapse

By Alambir Sandhu | Posted on February 7, 2022 | Posted in DevOps, Data & Analytics, Microsoft Azure

In today’s business, the faster you can make smart decisions, the more likely you are to remain competitive.

Because of this, data is now an organization’s greatest resource, and the ability to quickly mine vast amounts of data for actionable insights is the most powerful tool in any company’s toolbelt.

We’ve written in the past about the growing use of applying the DevOps concept to analytics. Boiled down, it means embracing automation for the processes of data ingestion and transformation in order to make analytics accessible to a wider range of users.

There are limits to what DevOps in analytics can do, and just because the concept has been adopted doesn’t automatically mean a win. There is still the issue of managing multiple environments, for example, as well as maintaining source control.

That’s where a tool like Azure Synapse comes in.

Synapse & DevOps for data

Included in Azure Synapse’s suite of tools is Azure Synapse Analytics, a limitless analytics service combining data integration, warehousing, and analytics under the same big tent.

With Synapse Analytics, the collaboration between multiple developers can be improved by allowing for greater usage of code by more than one party and without sacrificing source control.

This is done by way of integration with tools, such as GitHub, which ease the process of moving code to various environments. 

In Synapse, developers can create their own feature branches, conduct debugging and testing in their own branch, then pass the code on for review, then make changes. Once the code is ready to move forward to another environment or outright production, it can easily be reconciled with the golden branch.

This not only removes long-standing roadblocks in managing analytics, but it also takes away a lot of the necessary manual work in moving code between environments because it can all be automated.

Beyond automation, using Synapse in partnership with DevOps streamlines the steps of reviewing and testing code, since these steps can be done throughout the process rather than at the end. In other words, you can hit the accelerator on the entire development process without abandoning quality control.

Just getting started

The support of Azure Synapse with DevOps is still pretty new, and in many ways the toolset still has room for improvement, especially when it comes to deployment.

But Microsoft continues to put a lot of time and energy into the full suite of Synapse tools, including adding new features and constantly refining the product. 

Also, the platform already pays dividends simply by easing—and automating—the movement of code to various environments within a single source, which pairs perfectly with the accelerated, build-and-fix-as-you-go practice of DevOps development.

To learn more about Azure Synapse, DevOps for data, or anything analytics, reach out to one of our experts