Vcpkg VS Looker

Vcpkg Reviews

Looker Reviews

Vcpkg mentions (24)

• Xmake: A modern C/C++ build tool

  Re: C/C++ development: anybody using conda/pixi for dependency management? Here's an example of compiling a C++ SDL program using pixi and the SDL dependency from conda-forge [1]. Seems viable as a replacement for things like vckpg [2] which only builds from source. I'm still researching this but it seems like rattler [3] is the tool to use to build/publish packages. The supported repos are: prefix.dev's own... - Source: Hacker News / 12 days ago

• Ideas for project in C++ language use object-oriented programming

  Plenty of raw information should be available here, the actual vcpkg repo: https://github.com/microsoft/vcpkg. Source: over 1 year ago

• Why isn't there a Central C/C++ repository for distributions?

  Actually, there is: C++ Library Manager for Windows, Linux, and MacOS. Source: over 1 year ago

• Cleanup my dependency management with vcpkg

  The installation is described in the readme of vcpkg on github and is straightforward: clone the project, execute the installation script and you are ready to go! - Source: dev.to / over 1 year ago

• Transitioning from Java to C++

  You didn't ask about this, but I think its worth mentioning Conan and vcpkg. Of the two I have found vcpkg easier to work with, but both can be good solutions. Combining one of these package managers with CMake presets can make getting a project setup on a new machine almost trivial (great for CI or onboarding new devs). Source: over 1 year ago

Looker mentions (14)

• edit home page to add folder section

  Then in the "foldername" you can have 5 folders, each one for each of the groups. This means that when group1 enters looker.com, his default page will be the "foldername", which contains group1folder (he cannot see the rest of the folders if you have set the permissions correctly for each folder). Source: about 1 year ago

• Stars, tables, and activities: How do we model the real world?

  Even if you want to make Wide Tables, combining fact and dimensions is often the easiest way to create them, so why not make them available? Looker, for example, is well suited to dimensional models because it takes care of the joins that can make Kimball warehouses hard to navigate for business users. - Source: dev.to / over 1 year ago

• dbt for Data Quality Testing & Alerting at FINN

  We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams. - Source: dev.to / about 2 years ago

• I'm a dev ID 10 T please help me

  Dashboard: I like to use Datastudio because it's easy (just like using google sheets), but you can also try out Looker. Source: over 2 years ago

• The Data Stack Journey: Lessons from Architecting Stacks at Heroku and Mattermost

  For Growth and larger, I would recommend Looker. The only reason I wouldn't recommend it for the smaller company stages is that the cost is much higher than alternatives such as Metabase. With Looker, you define your data model in LookML, which Looker then uses to provide a drag-and-drop interface for end-users that enables them to build their own visualizations without needing to write SQL. This lets your... - Source: dev.to / over 2 years ago