In this success story, we helped our client with a DataOps transformation solution. Our DataOps experts transformed the Snowflake release management of the client to an automated workflow with best practices.
The best part is that we automated the deployment process with roll-back provisioning, streamlined version controlling, and other optimal DevOps practices.
Our client is a leading e-commerce service provider. They manage their datasets in a multi-stage Snowflake environment.
The client had frequent patches, upgrades, performance tuning, and other remedial DBA activities in their Snowflake environment. The manual deployment of database changes in this multi-stage Snowflake environment would be time-consuming and redundant.
They were planning to automate the Snowflake deployment process from the lower environment (Development) to higher environments (Testing, Live). In addition to automating the deployment pipeline, they needed to develop the streamlined database version controlling for rollback provisioning.
So, they were in search of DataOps experts to develop an automated deployment pipeline and ensure database versioning for their multi-stage Snowflake environment.
The client reached out to the AVASOFT team!
AVASOFT DevOps experts dived in to analyze the client’s multi-stage Snowflake environment. Further, we proposed the best practices to deploy the patches in different Snowflake environments.
We can take up the hectic transformation part for you! Our DevOps experts can build the CI/CD (Continuous Integrity & Continuous Deployment) pipeline from scratch or remediate the existing deployment model based on the business needs. With customized DevOps deployment workflow, your development teams could sail through the process effortlessly.
Do you face similar issues in the deployment model? What are you waiting for?
AVASOFT team is on its wings to assess and help you transform to the best DevOps practices for your platforms!
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