Why I am excited about Shaper's new Tasks feature
I just shipped the biggest update since I started building Shaper.
Tasks let you automate data workflows right within Shaper.
A few examples:
- Load the latest data from a database or API
- Transform data to speed up dashboard queries
- Archive old data to S3
- Send a notification to Slack for critical data insights
- Email a monthly Excel report to your customers
With the power of DuckDB and its extensions, you can do all this and more with simple SQL queries.
The Missing Piece
Section titled “The Missing Piece”Since the beginning I wanted to Shaper to be a complete data platform in single tool - From ingesting and storing data to visualizing and sharing it.
The Tasks feature is the missing piece in the middle - Transform data to get it into the shape that you can actually visualize and share it.
Growing With Your Data Needs
Section titled “Growing With Your Data Needs”You can think of tasks as CRON jobs with more flexible scheduling and integrated into the platform. But there is a lot of things Tasks don’t do and likely never will. Shaper’s goal is simplicity when starting out with data projects. And once your data needs become more complex you can introduce a dedicated data processing stack to complement Shaper.
Find all the detauls in the docs.