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, GraphQL seems to be a lot more popular than Looker. While we know about 229 links to GraphQL, we've tracked only 14 mentions of Looker. 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 / over 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
A headless CMS delivers content using APIs, often RESTful or GraphQL, allowing front-end developers to fetch material dynamically. This strategy makes it easier to integrate content into apps and helps developers structure their data retrieval more efficiently. - Source: dev.to / 2 days ago
In recent years, GraphQL has emerged as a powerful alternative to REST for API development. Created by Facebook in 2012 and open-sourced in 2015, GraphQL offers a more flexible and efficient approach to data querying and manipulation. If you're considering migrating your existing REST APIs to GraphQL, this step-by-step guide will help you navigate the transition smoothly. - Source: dev.to / 14 days ago
Feel free to check out the official documentation of Apollo Server and GraphQL for more detailed information on advanced topics and best practices. Happy coding! - Source: dev.to / 16 days ago
Before starting the tutorial on developing a personal target tracking application with Flutter, Riverpod, Strapi, and GraphQL, ensure you meet the following requirements:. - Source: dev.to / 24 days ago
On the other hand, GraphQL is a query language for APIs that was developed by Facebook. It allows clients to specify exactly what data they need, and the server responds with only that data. - Source: dev.to / about 1 month ago
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