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, OpenSearch should be more popular than Looker. It has been mentiond 25 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.
Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 5 months ago
As you can see the visualisation performs rather well with InfluxDB except for one button which appears to be disabled:** Logs for this span**. This button is automatically disabled when our trace data source (in this case, Jaeger with InfluxDB 3.0 acting as the gRPC storage engine) has not been configured with a log data source. A log data source within Grafana is usually represented by default using the log... - Source: dev.to / 10 months ago
Interesting work with the representation of the Content through the URL, to allow the agent/actor to discover the information through different path. ↓ [...] - CSS(--variable) - DOM(attributes=value) - FORM(input[name]) - URL(path?param#resource) - HTTP(?params{body}) - SCRIPT(--attribute) - DB(model?filters) - FS(folder/filer/{content}) [...] ↑ - https://www.w3.org/OWL/ maybe to harmonize the... - Source: Hacker News / 11 months ago
Scalable data ingestion is a key aspect for a large-scale distributed search and analytics engine like OpenSearch. One of the ways to build a real-time data ingestion pipeline is to use Apache Kafka. It's an open-source event streaming platform used to handle high data volume (and velocity) and integrates with a variety of sources including relational and NoSQL databases. For example, one of the canonical use... - Source: dev.to / 11 months ago
One more open source tool to consider here is opensearch, which is a fork of elasticsearch. https://opensearch.org/. Source: about 1 year 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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