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, Looker should be more popular than Vault by HashiCorp. 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.
Before you start, just a friendly reminder that HashiQube by default runs Nomad, Vault, and Consul on Docker. In addition, we’ll be deploying 21 job specs to Nomad. This means that we’ll need a decent amount of CPU and RAM, so Please make sure that you have enough resources allocated in your Docker desktop. For reference, I’m running an M1 Macbook Pro with 8 cores and 32 GB RAM. My Docker Desktop Resource... - Source: dev.to / over 1 year ago
When running cron jobs on Amazon EC2, you can, for example, use a secrets store like Vault. With Vault, your cron jobs can dynamically get the credentials they need. The secrets don’t get stored on the machine that’s running the cron jobs, and if you change a secret, the cron jobs will automatically receive that change. The downside of implementing a solution like Vault, however, is the overhead of managing the... - Source: dev.to / about 2 years ago
Vaultproject.io handles secrets management, so dynamic policies deal with database creds etc. "Manual" creds are stored in 1password or lastpass and added manually to Vault if it needs rebuilding. Source: over 2 years ago
It's all in the blog series, including sample configuration, but it's vaultproject.io and it allows you to do everything from managing simple secrets to auto-rotation of database credentials or even run your own KPI setup. Source: over 2 years ago
Our team is experimenting with Hashicorp Vault as our new credentials management solution. Thanks to the offical Vault Helm Chart, we are able to get an almost production-ready vault cluster running on our Kubernetes cluster with minimal effort. - Source: dev.to / almost 3 years ago
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
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