Integrate Basecamp to Amazon Redshift
Basecamp consolidates many project management systems into one centralized location that includes to-do lists, shared documents, schedules and discussions. In the Basecamp interface, users can see what tasks need to be accomplished, who they are assigned to and when they are due. They can also access public documents and discussion boards. This allows for more organized communication and more efficient and comprehensive teamwork.
Integrate Basecamp to Amazon Redshift
Popular Use Cases
Xplenty can extract any data that you need from Basecamp. Here are some of our most popular use cases:
Get data about a project, including its name, status, and the list of tools enabled for that project (schedules, to-do’s, and message boards, for example). You can also use this endpoint to modify existing projects that need additional functionality or to trash projects that are no longer being worked on.
Retrieve information about a to-do task, such as its name, status, creator and assignee. Then, look at important information about your tasks such as what tasks a person has assigned to them, what tasks are still active and how long those tasks have been active. This can help you measure project performance and other key metrics.
Track any time a change occurs in Basecamp i.e. if there is a new comment, an assigned to-do, a new document, or any number of other events. This data can help you highlight trends, run analytics, and support any other data sources that rely on event reporting.
Get information about any comment made in Basecamp, including the name of the commenter, the date the comment was made, the content of the comment, and what project the comment was on. This data can help you both monitor user engagement and gauge which projects are being talked about the most.
Why We Like Amazon Redshift
Redshift’s Massively Parallel Processing (MPP) allows it to run queries more quickly and efficiently than ever before.
Most of the analytic tools that companies use today are SQL, and Redshift is SQL compatible. That means that the platform can leverage your existing tools quickly and efficiently.
The warehouse is incredibly scalable and flexible - allowing you to scale from single 160GB nodes all the way up to 16TB nodes - which means that it’ll handle whatever changes your business may require.
Redshift has no up-front costs, no long-term commitments, and an on-demand pricing structure, making it one of the most cost-effective choices out there.
Xplenty helps us to extract data from different sources, modeling them to our needs and then loading them where we want, scheduling tasks on demand for automation. The abstractions make it easier to work with, even to people with more knowledge on tech. Aside from that, their support is very good, and this makes a big difference for all levels of users and companies.
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.
Xplenty and Amazon Redshift
Xplenty's data integration service can read data from and write data to Amazon Redshift securely and easily, allowing users to transform and load data directly from any data store into an Amazon Redshift instance. Xplenty can also be used to offload ETL workload from Redshift, allowing each platform to do what it does best: Xplenty for data integration and data preparation and Amazon Redshift for real-time querying.