Learn how to document data conversion workflows for reproducibility using best practices and tools. Also, learn how to test, validate, share, and reuse data conversion workflows.

The Mapping data flow to Microsoft Fabric notebook is a command line tool to convert Mapping data flow script code to Spark Scala and PySpark code. The objective of the conversion tool is to provide ...

The first step to handle errors during data conversion is to identify where and why they occur. You can use various tools and methods to inspect, validate, and debug your data before, during, and ...

This project is provided as-is and is not actively maintained. For more background on Stripe's TypeScript migration, check out our blog post!. This is the codemod Stripe used to migrate 4m+ lines of ...

Motivated by this application, we present a new framework to formalize the notion of code conversion, i.e., the process of converting data encoded with an [n^I, k^I] code into data encoded with an ...

To do the conversion, Relogix reorganizes the program flow to use natural C constructs such as “if,” “for,” and “case” statements, usually without recourse to “goto.” By analysis of the source program ...

Currently, much of the data is handled in silos, requires multiple handoffs with conversion and manual effort, and the lack of standardization requires heroics to find meaning in the data.

Nevertheless, direct application of Pandapower is faced with a problem of lacking input data since power flow data is mainly in PSD-BPA data format in China. In order to solve quickly power flow in ...