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.
Based on our record, Looker should be more popular than DoltHub. It has been mentiond 14 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: about 1 year 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 / over 1 year ago
We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams. - Source: dev.to / about 2 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 2 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 / over 2 years ago
There are other ways to share this data other than CSVs on GitHub. Kaggle has been mentioned here in the past. There's also dolthub.com where you can make the data available as a SQL queryable dataset. It's "Git for data". Might be nice to host it somewhere where answers to questions like "what was SPY's closing price on 2010-01-27" can be more easily obtained. Source: about 1 year ago
The database world has been slow to follow. But it is getting there, TerminusDB is one database with version control features. There are others like Dolt, Planetscale, and Liquibase that extend the functionality of other databases. - Source: dev.to / about 2 years ago
Why not share the data with something like dolthub.com ? They have stock price, option price, and earnings databases. Source: over 2 years ago
Most of the data on dolthub.com is Creative Commons licensed so use it as you'd like. Source: over 2 years ago
Just looked up dolthub.com, what does it do exactly? Source: 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.
Activeloop - Data lake for machine and deep learning. The fastest dataset management tool for computer vision.
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
DVC - Diablo Valley College consists of two campuses serving more than 22,000 students in Contra Costa County each semester with a wide variety of program options.
Sisense - The BI & Dashboard Software to handle multiple, large data sets.
Kaggle - Kaggle offers innovative business results and solutions to companies.