We would love to show you a few example dataflows of how our users build with Ascend to give you an idea of how implementing one of your potential use case on Ascend may look like.
In order to view the sample dataflows referenced in this section, you should either have your own Ascend environment (paid account) or a free trial version. Go here to request a trial of the Ascend platform.
This sample dataflow (requires account access) showcases the aggregation of data from multiple public API's. Additionally, it also uses the platform's PySpark and SQL functionalities to calculate more advanced financial and economic indicators.
This sample dataflow (requires account access) showcases the time-series partitioning of large amounts of data and the ability to perform complex transformations using PySpark's ML library and SQL. Furthermore, it reflects the real-life use case of building multiple data processing pipelines and then performing comparisons of the two for debugging and analysis.
Updated 11 months ago