Alex Gostev

Results 10 issues of Alex Gostev

Parent: UI Revamp project https://github.com/ckan/ckan/issues/7760 ----- ### Deliverable User flow diagram in Figma for 3 roles (logged in user, non-logged in user, admin) ### Acceptance criteria 1. All pages are...

### Short Description UI isn't up to date. Reworking UX is complex, it'll will take time and effort. If we're seeing value in modernizing UI so it's prettier, not getting...

UX

**Problem hypothesis** 1. **Is it possible to retain lossless graph database harvesting in CKAN.** 2. SQL database that's used right now for CKAN puts a limitation on amount of CKAN...

**Problem** https://github.com/ckan/ckan/discussions/7501 - Enquiring data using a human language is a whole new level of accessibility. - 3 mins on why I believe it's important: https://www.loom.com/share/5390b5ce30cb40759da3909c23ac09f6 **Solution hypothesis** - _Enquiring...

**Problem statement** 1. Solr is not the solution that fits perfectly every-time. U.S. team didn't have Solr in their new infrastructure setup, Alexey from LD told that customizing Solr to...

**Problem hypothesis** - Hypothesis 1: More than half of the instances are running the old version. So the latest work is not incorporated into the solution. - Hypothesis 2: Some...

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**Problem research and evidence** Insights from Office Hours discussion with @kowh-ai, @gavram, Carlos Kuhn and @thegostev . Summarizing we had an agreement to try hackathon for increasing engagement in CKAN...

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**Problem research and evidence** Conversation with [Carlos Kuhn](https://researchprofiles.canberra.edu.au/en/persons/carlos-noschang-kuhn) on collaborative workflows led to discovering that Microsoft tooling is used in his university (likely in other universities as well). Plus internal...

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**Problem hypothesis** 1. CKAN publishers have the need to create charts to showcase data. 2. CKAN publishers will prefer CKAN charts to other solutions as they're easier to use. 3....

### Problem research and evidence It's a struggle to manage and utilize data effectively in AI and machine learning (ML) pipelines. Manual data integration and structuring are time-consuming and error-prone....

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