Have you ever faced issues while positioning Non-Native Azure Tool with package extraction, installation, and configurations? Automation is a must in this scenario due to below reasons,
- Manual Extraction of Package for the installation first time and during each new version release
- Manual Configurations of Tool is a tedious task, repeat the same configuration steps for multiple environments and the possibility of human error
- Spend lot of time doing the same activity for the extraction, installation and configuration of the package for each environment/resource group
In this blog, we will look at the use case for Trifacta(Data Wrangling Tool) Implementation on Azure with end-to-end automation using Databricks.
Note
Although Trifacta tool is available on Azure Market Place extension with Integration with HDInsight and Databricks but it only supports specific versions of Linux VM. This blog is focusing more on positioning Trifacta on Azure which supports any version of Linux VM.
What is Trifacta?
- Solution Design for the End to End Automation using Azure Devops & Ansible
- Automation of Azure Devops CI/CD Pipeline
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