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Looker is a business intelligence platform with an analytics-oriented application server that sits on top of relational data stores. The Looker platform includes an end-user interface for exploring data, a reusable development paradigm for creating data discovery experiences, and an extensible API set so the data can exist in other systems. Looker enables anyone to search and explore data, build dashboards and reports, and share everything easily and quickly.
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Based on our record, Postgres.js should be more popular than Looker. It has been mentiond 24 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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: over 3 years ago
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 / almost 4 years ago
We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams. - Source: dev.to / over 4 years ago
Dashboard: I like to use Datastudio because it's easy (just like using google sheets), but you can also try out Looker. Source: over 4 years ago
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 / almost 5 years ago
Bun provides native MySQL, SQlite, and Postgres drivers. I'm not saying Node should support every db in existence but the ones I listed are critical infrastructure at this point. When using Postgres in Node you either rely on the old pg which pulls 13 dependencies[1] or postgres[2] which is much better and has zero deps but mostly depends on a single guy. [1] https://npmgraph.js.org/?q=pg [2]... - Source: Hacker News / 6 months ago
Is there a way to make this work with https://github.com/porsager/postgres ? It's very close to raw SQL but with safe substitutions. I use it with Zod, but it would be great to have the types derived automatically. - Source: Hacker News / 7 months ago
I really want to use pipelining for our "em.flush" of sending all INSERTs & UPDATEs to the db as part of a transaction, b/c my initial prototyping showed a 3-6x increase: https://joist-orm.io/blog/initial-pipelining-benchmark/ If you're not in a transaction, afaiu pipelining is not as applicable/useful b/c any SQL statement failing in the pipeline fails all other queries after it, and imo it would suck for... - Source: Hacker News / 11 months ago
> What are you missing? Everything else needed to make a backend app. At the very least, Node should provide fundamental pieces like database drivers. Currently the best PG driver[1] depends on a single guy. Bun already provides its own PG driver [2] and Jarred has written they will keep investing into more built-in APIs. [1] https://github.com/porsager/postgres [2] https://bun.com/docs/api/sql. - Source: Hacker News / about 1 year ago
I want to use this as a chance to bring attention to a GitHub issue that I think would help reduce friction for Neon: https://github.com/neondatabase/neon/issues/4989. Having run a local dev environment connected to Neon and tests connected to Neon got in our way of adoption. We'd prefer to develop and run tests against a regular Postgres localhost database. To the PMs of Neon, put yourself in the shoes of a new... - Source: Hacker News / over 2 years ago
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
JDBI - See this.
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
Productivity Power Tools - Extension for Visual Studio - A set of extensions to Visual Studio 2012 Professional (and above) which improves developer productivity.
Sisense - The BI & Dashboard Software to handle multiple, large data sets.
Astro Build - Astro is the web framework that you'll love to use.