# Tables, (x)arrays, and rasters¶

**URL:** <https://discourse.pangeo.io/t/tables-x-arrays-and-rasters/1945>\
**Category:** Uncategorized\
**Created:** [November 22, 2021, 2:37pm UTC](https://discourse.pangeo.io/t/tables-x-arrays-and-rasters/1945 "2021-11-22T14:37:49Z")\
**Posts on this page:** 1\
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**Author:** ![rabernat](https://yyz2.discourse-cdn.com/flex030/user_avatar/discourse.pangeo.io/rabernat/32/22_2.png) [@rabernat](https://discourse.pangeo.io/u/rabernat)\
**Post date:** [November 23, 2021, 1:58am UTC](https://discourse.pangeo.io/t/tables-x-arrays-and-rasters/1945/2 "2021-11-23T01:58:27Z")

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Tom just a quick note to say that I really think you’re onto something here. You have articulated a central problem which is hard to tackle with our current stack. (Also closely related to the L2 satellite data processing challenge identified by @cgentemann in [Get Involved in Pangeo: Entry Points for New Contributors - #7 by cgentemann](https://discourse.pangeo.io/t/get-involved-in-pangeo-entry-points-for-new-contributors/643/7)). Your solution elegantly leverages the existing tools (Pandas, Xarray, and STAC) in a really neat way. I would definitely keep pursuing this.

I think the next step would be to define a workflow–say to create a cloud-free mosaic of a region or something like that–and see how this approach maps. I would talk to Chelle, @RichardScottOZ, and others working with L2 data to identify some candidate workflows.

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