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ETL Jira data with Trifacta

CATEGORY: Collaboration      STATUS: Available

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Jira is an Atlassian product designed to help teams organize, track, and manage their work.

ETL Jira data to your data warehouse, such as Amazon Redshift, Google BigQuery, Snowflake, Databricks, etc., in seconds. With Trifacta's Jira data connector, you can transform, automate, and monitor your Jira data pipeline in real-time. No code required.

 

Trifacta documentation

How to set up the connector in your Trifacta workspace.

Dataprep documentation

How to set up the connector in your Trifacta Dataprep project.

 

Join Jira data with any data source

Combine datasets from any data source with your Jira data. Connect to any data—Trifacta's data integration workflow supports a wide variety of cloud data lakes, data warehouses, business intelligence applications, open APIs, file systems, and allows for flexible execution, including SQL, dbt, Spark, and Python. This includes Amazon s3, Google BigQuery, Azure, MySQL, and other SaaS applications. Whether it's joining Jira data with CSV, Microsoft Excel, or JSON data, Trifacta's visual workflow lets you interactively access, preview, and standardize joined data with ease.

Jira by Atlassian Screenshot
 

Jira to your data warehouse in minutes

ETL your Jira data to the destination of your choice.

 

No-code automation for your Jira data pipeline

Trifacta empowers data access for everyone to easily build data engineering pipelines at scale. With a few simple clicks, automate your data pipeline with ease. No more tedious manual uploads, resource-intensive transformations, and waiting for scheduled tasks. Deploy and manage your self-service Jira data pipeline in minutes, not months.

Ensure quality data every time.

No matter how you need to combine and transform Jira data, ensure that the end result is high-quality data, every time. Trifacta automatically surfaces outliers, missing data, and errors and its predictive transformation approach allows you to make the best possible transformations to your data.

Schedule, automate, repeat.

Automate your Jira data pipelines with job scheduling so that the right Jira data is structured when you need it. When new Jira data lands in your database, let your scheduled data pipelines do the work of preparing it for you—no manual intervention required.

 
Jira by Atlassian Screenshot

Maximize the value of your Jira data.

ETL Jira data into a database in order to enrich it with data from other applications, such as your CRM or marketing platform. No longer will your Jira data be isolated from the rest of your company’s critical data; instead, you’ll discover new, unforeseen insights and connect the dots across your company like never before.

 

"Designer Cloud allows us to quickly view and understand new datasets, and its flexibility supports our data transformation needs. The GUI is nicely designed, so the learning curve is minimal. Our initial data preparation work is now completed in minutes, not hours or days."

Henry Culver

IT Architect, Merkle

 

Use cases for the Jira data connector

  • IT Operations: Cleanse and ingest Jira data into your data warehouse so that ticketing trends can be tracked and better operationalized.

  • HR: Transform Jira data and ingest it with employee information data to track the lifecycle of an employee.

 
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