We are happy to announce the release of our brand new data source for extracting data from the LinkedIn Pages API. It downloads data related to organizations and their posts, and to statistics about the performance of their pages, as well as tables of enumerated types used therein.

Learn more about the new extractor in our documentation.

If you have any other questions or just want to give us feedback, please do not hesitate to contact us.

We are excited to announce the release of our new component for fetching data from DynamoDB Streams. This component is designed to help you easily extract data from DynamoDB Streams and store it in Keboola Storage, with support for incremental fetches.

One of the key features of this component is it's ability to fetch data in increments. This makes it a great choice for use with large DynamoDB tables, as it enables you to track changes without having to perform a full scan.

It is particularly useful for scenarios where you need to work with very large DynamoDB tables but don't want to perform a full scan. By retrieving only the changes made in the last 24 hours, you can significantly reduce the amount of data that needs to be processed, which can help improve performance and reduce costs.

The component enables you to trigger the run of a specified notebook in Deepnote. To use it, you need access to the Deepnote API, which is available only to the Team and Enterprise plans.

You can find the component documentation here.