One of the most powerful features that I pushed the MyST team to incorporate is xref (linking External MyST projects via borrowed syntax from ReStructuredText) https://mystmd.org/guide/external-references#myst-xref…
That author did not have Spark tuned well for the use case. This is a common issue with Spark. Since OpenRefine commonly is used with Strings, we plan to optimize in many areas for that such a few mentioned here:…
Thanks @rasmusei! If you are a data scientist you might also be interested in how to work along with Jupyter. Our community has some documentation on our Wiki about that here:…
Thanks Larry for the ping. Happy to answer questions from the community here!
SIMILE library is used in OpenRefine for certain Faceting like timeline, clustering, etc. Parallax was originated by David to show how time series data visualizations could be enhanced. David was one of our original…
Our current architecture is here: https://github.com/OpenRefine/OpenRefine/wiki/Architecture YES! We want users to process much larger data sets also! We have started experiments with using Apache Spark on the backend…
One of the most powerful features that I pushed the MyST team to incorporate is xref (linking External MyST projects via borrowed syntax from ReStructuredText) https://mystmd.org/guide/external-references#myst-xref…
That author did not have Spark tuned well for the use case. This is a common issue with Spark. Since OpenRefine commonly is used with Strings, we plan to optimize in many areas for that such a few mentioned here:…
Thanks @rasmusei! If you are a data scientist you might also be interested in how to work along with Jupyter. Our community has some documentation on our Wiki about that here:…
Thanks Larry for the ping. Happy to answer questions from the community here!
SIMILE library is used in OpenRefine for certain Faceting like timeline, clustering, etc. Parallax was originated by David to show how time series data visualizations could be enhanced. David was one of our original…
Our current architecture is here: https://github.com/OpenRefine/OpenRefine/wiki/Architecture YES! We want users to process much larger data sets also! We have started experiments with using Apache Spark on the backend…