Jira to Amazon Redshift – Made Easy

Posted By: editor
Posted On: 12 Jul, 2021

Looking to replicate Jira data into Amazon Redshift ?

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Replicate Jira to Amazon Redshift in minutes

Jira is a great platform that helps teams to plan, release, track, and report various components of a software development life-cycle while streamlining and optimizing the development of the project. To derive useful insights, companies load Jira event logs to a data warehouse like Redshift to measure and optimize operations and automate testing systems logs. Replicate your Jira data to Amazon Redshift and start generating insights that help your eCommerce business succeed. Once you have moved your data to Redshift, you can make Jira data even more efficient and powerful by integrating it with any CRM, sales, and marketing tools to ensure an automated & smooth transition of business analytics. 

Why integrate Jira into Amazon Redshift?

Data silos make it difficult to fetch even simple business insights. Even if you manage to fetch data from all the different sources manually and consolidate it into an excel sheet for analysis, you can run into data redundancy. By consolidating your Jira data with all disparate sources into one common destination, enable quick data analysis for business insights. Integrate your Jira data into Amazon Redshift ensuring no data loss at any point and build a single source of truth for your teams to access. Replicating your data also ensures consistent data quality, which is crucial for reliable business insights.

Jira Overview

Jira is a business process management tool used by agile teams to plan, track and release software. It is a flexible issue tracking tool developed by Atlassian that allows bug tracking and agile project management. Jira enables users to create project roadmaps to map out all projects in progress. The tool has become widely used by agile development teams to track bugs, stories, epics, and other tasks. It works as a tracker for teams planning & building great products.

Amazon Redshift Overview

AWS Redshift is a fast, fully managed, petabyte-scale cloud data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using SQL and your existing business intelligence tools. It is a columnar store, making it particularly well-suited to large analytical queries against massive datasets. It is also used to perform large-scale database migrations. Amazon Redshift is a hugely popular data warehouse, offering a balance between easy maintenance and robust customization options. It also offers the performance, speed, and scalability required to address your data warehousing and ETL needs.

How to replicate Jira to Amazon Redshift?

Here’s an overview of the two approaches you can use to replicate Jira data to Amazon Redshift. This will allow you to evaluate the pros and cons of both and choose the one that best suits your requirement.

Build your own data pipeline 

This process needs a lot of experience and consumes a lot of time and manpower. The chances of errors are more due to multiple integrated steps to be executed one after the other. You need to extract data using Jira APIs & then connect it properly with the Redshift data warehouse. This whole process to build a custom data pipeline is cumbersome. 

Use Daton to integrate Jira and Amazon Redshift 

Integrating Jira and Redshift with Daton is the fastest & easiest way to save your time and efforts. Leveraging a cloud data pipeline like Daton significantly simplifies and accelerates the time it takes to build automated reporting. 

Configuring data replication on Daton only takes a few minutes and a few clicks. Your analysts do not have to write any code or manage any infrastructure, yet you can get access to Jira data in a few hours. 

Daton’s simple and easy-to-use interface allows analysts and developers to use UI elements to configure data replication from Jira data into Redshift.  

Daton takes care of: 

  • Authentication 
  • Rate limits
  • Sampling
  • Historical data load
  • Incremental data load
  • Table creation, deletion, reload
  • Refreshing access tokens
  • Notifications 

and many more important functions for data analysts to focus on analysis rather than worrying about data replication.

 

Steps to integrate Jira with Daton

 

  • Sign in to Daton  
  • Select Jira from the integrations page 
  • Provide Integration Name, Replication Frequency, and History. Integration name would be used in creating tables for the integration and cannot be changed later  
  • You will be redirected to Jira login for authorizing Daton to extract data periodically 
  • Post successful authentication, you will be prompted to choose from the list of available Jira accounts 
  • Select required tables from the available list of tables 
  • Then select all required fields for each table 
  • Submit the integration 

Sign up for a trial of Daton today!

Here are more reasons to explore Daton for Jira Amazon Redshift Integration

  • Faster integration – Jira to Amazon Redshift is one of the integrations Daton can handle very conveniently and seamlessly. By following a few steps you can easily connect Jira to Redshift.  
  • Low Effort & Zero Maintenance – Daton automatically takes care of all the data replication processes and infrastructure once you sign up for a Daton account and configure the data sources. No need to manage infrastructure or write manual code.
  • Data consistency guarantee and an incredibly friendly customer support team ensure you can leave the data engineering to Daton and focus on analysis and insights! 
  • Enterprise-grade data pipeline at an unbeatable price to help every business become data-driven. Get started with a single integration today for just $10 and scale up as your data needs grow. 
  • Robust Scheduling Options: This allows you to schedule jobs based on their requirements using a simple configuration step. 
  • Support for all major cloud data warehouses including Google BigQuery, Snowflake, Amazon Redshift, Oracle Autonomous Data Warehouse, PostgreSQL, and more. 
  • Flexible loading options allow you to optimize data loading behavior to maximize storage utilization and ease of querying. 
  • Enterprise-grade encryption gives your peace of mind 
  • Support for 100+ data sources – In addition to Jira, Daton can extract data from a varied range of sources such as Sales and Marketing applications, Databases, Analytics platforms, Payment platforms, and much more. 

Use Daton, a no-code, zero maintenance cloud data pipeline to ETL data from JIRA to Amazon Redshift for faster data analysis and experience a hassle-free data replication at scale.

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