Integrate Google BigQuery to Atlassian
Querying massive datasets can be time-consuming and expensive without the right hardware and infrastructure. Google BigQuery solves this problem by enabling super-fast, SQL-like queries against petabytes of data using the processing power of Google's infrastructure.
It's a scalable, no-setup service that gives you real-time business insights about your data.
Integrate Google BigQuery to Atlassian
Why We Like Google BigQuery
Save your company’s time, resources and internal bandwidth by choosing a fast, fully-managed data warehouse.
Scale Your Efforts
Don’t get overwhelmed by your data. Use BigQuery to scale your efforts and support your data transformations even as you grow.
Feel secure knowing that Google BigQuery is fully managed by Google. That means they deploy, maintain and upgrade your database for you, giving your business peace of mind.
Upload your data and run SQL quickly and efficiently - no setup, no software and no duplicate data.
See Why It's Awesome to Use Xplenty with Google BigQuery
Transforming data from Google BigQuery can be a daunting task. Xplenty makes it super easy to use and understand - see how.
VP Data and Analytics, Panda Pepper
We are using Xplenty to move data from BigQuery, Firebase and Appsflyer to our SQL Server data warehouse, to allow our customers make knowledgeable decision regarding their mobile product. By working with Xplenty, we don't need to worry about the integrations - we merely build the ETL packages, and their are doing all the heavy lifting. Xplenty have a 24/7 support, and we are very satisfied with their product and support.
Xplenty and Google BigQuery
With Xplenty, users can transform and load data from any data store directly into BigQuery. That means more accurate data, comprehensive analytics and helpful business insights.
Popular Use Cases
Xplenty can extract any data that you need from Atlassian. Here are some of our most popular use cases:
Request information about your service desk instance, including its version number, how long the instance has been running and what build it is. Accessing this data will, among other things, allow you to more successfully integrate your service desk with other relevant data sources.
Create a customer entity in JIRA Service Desk by providing Atlassian with the customer’s name, email and display name. Then, use this data in other endpoints to track service requests for a specific customer or integrate it with customer service data from other sources to provide a more comprehensive view of a customer’s journey.
Retrieve data on organizations that are engaging with your service desk, including the organizations’ names, IDs, properties and associated users. Then, access this endpoint to track those organizations, their users and their service requests so that you can have a better understanding of your service interactions with them.
Track any and all customer service requests and get relevant data, such as the customer’s contact info, the reason for the request, and the status of the request (what step it is on in your customer service process). Use this data to evaluate how well your company is responding to these requests and/or monitor customer service trends.
Why Our Customers Choose Xplenty
We take ownership of your data pipelines. That means that our platform will ensure that your data continues to flow and that your pipelines won’t break - and, if they do break, it’s our problem, not yours. So rest easy knowing that Xplenty has got you covered.
Xplenty offers you full flexibility when it comes to how much control you have over the process of data integration. That means that you choose exactly what data will be delivered, how it’s going to be delivered, and when.
Ease of Use
You don’t have to be tech-savvy to use Xplenty. There’s no code, no engineering and no need to worry about messing up your data delivery.
Data integration used to be the domain of IT, data developers and BI. Xplenty changes all of this, allowing every team within a company - marketing, sales, product, finance, HR, etc. - to use the platform to power their analytics and gain important business insights.