Looker
Tableau
Sisense
Microsoft Power BI
Domo
Qlik
Google BigQuery
QlikSense
Azure IoT Hub
AWS IoT
ThingSpeak
Particle.io
AWS Greengrass
AWS IoT Device Defender
Blynk.io
Azure Sphere
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.
Looker Azure IoT HubBased on our record, Looker should be more popular than Azure IoT Hub. 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
Sure MS has a product. It's more expensive and harder to use, though...Azure IOT hub - https://azure.microsoft.com/en-us/products/iot-hub. Source: 11 months ago
Azure IoT Hub is a managed cloud service which provides bi-directional communication between the cloud and IoT devices. It is a platform as a service for building IoT solutions. Being an azure offering, it has security and scalability built-in as well as making it easy to integrate with other Azure services. - Source: dev.to / about 2 years ago
I am currently working on an IoT Project for my Bachelor's thesis. The goal is to gather data from an existing machine and send it to an Azure cloud via AMQP. To do this I have set up an IoT Hub and will be using the Azure IoT Edge runntime to connect and send the Data. For initial development, I have authenticated my devices to the cloud using symmetric keys generated by the IoT hub. Now I want to switch to... 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.
AWS IoT - Easily and securely connect devices to the cloud.
Sisense - The BI & Dashboard Software to handle multiple, large data sets.
ThingSpeak - Open source data platform for the Internet of Things. ThingSpeak Features
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile
Particle.io - Particle is an IoT platform enabling businesses to build, connect and manage their connected solutions.
