Jira Service Management Python Integration
Jira Service Management connector for Integration with Python. Easily load Jira Service Management data to a database and analyze it with Python.
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Analyze Your Jira Service Management with Python
The best way to perform an in-depth analysis of Jira Service Management data with Python is to load Jira Service Management data to a database or cloud data warehouse, and then connect Python to this database and analyze data. Skyvia can easily load Jira Service Management data (including Customers, Organizations, Requests, etc.) to a database or a cloud data warehouse of your choice.
Integrate Jira Service Management to Database or Data Warehouse
Use ELT or ETL Integration Process
ELT (Replication)
ELT process supposes simple copying cloud data to a data warehouse or a database as-is, leaving all the transformation tasks for the database server. This is often uses, for example, when loading data to cloud data warehouses with affordable and nearly unlimited computing power for transformations. In Skyvia, this task is solved with easy-to-configure Replication packages.
ETL (Import)
ETL process supposes that data structure in source and target is different, and data must be transformed before loading it into target database. For example, you may want to create a schema for OLAP or simply have target tables for data already created. In Skyvia, this is task solved with Import packages, having powerful mapping and transformation capabilities.
Jira Service Management Replication Features
Simple No-coding Setup
All you need to do is to specify parameters for connecting to Jira Service Management and data warehouse and select which data to replicate.
Keep Data Up-to-Date
Skyvia’s Replication Tool will painlessly ensure you always have the most current data from your cloud applications in your data warehouse.
Automatic Schema Creation
You don’t need to prepare the database — Skyvia creates the tables, corresponding to the source objects, in the data warehouse automatically.
Jira Service Management Import Features
Powerful Data Transformations
Skyvia offers powerful mapping features for data transformations. You can perform data splitting, use complex expressions and formulas, lookups, etc.
Import of New and Updated Data
You can import only new and updated records, and thus, keep your database for analysis always up-to-date.
Preserve Data Relations
With Skyvia all the relations between the imported Jira Service Management objects will be preserved. You need just to specify them in mapping.
Connect Jira Service Management and Python with minimal effort and in only a few clicks!