Systems | Development | Analytics | API | Testing

Dashboards

From 0 to Dashboard with Cloudera Data Warehouse

Today you'll see a quick demo on how to start off with any given dataset, reference it within Cloudera Data Warehouse, and then use the in house Data Visualization to create a live dashboard from the data. We'll use some example shipping data and show how you can go from 0 to dashboard in no time at all.

A Sneak Peek at Scaling Without (So Much) Pain [Destination: Scale]

Lens, the Kubernetes IDE, is an open source Kubernetes dashboard that enables users to easily see what objects are running in their cluster and interact with them. In that way, it has been helping to take some of the pain out of Kubernetes operations and development, but now it includes features specifically aimed at those of us with large environments.

The day the dashboard died

For more than 20 years, dashboards served as a foundational element of business intelligence, helping leaders visualize and share valuable data across their organization. At inception, dashboards were the perfect vehicle for delivering key report KPIs without data workers needing a background in coding or IT. But much has changed over the last two decades, including the appetite and needs of your business users.

Exploring Data & Dashboard Creation on CDP Public Cloud

In this video, we'll walk through an example on how you can use Cloudera Data Warehouse to both easily run ad hoc queries against data as well as turn the results of those queries into beautiful, interactive, data visualizations and dashboards that show off the results of your data exploration.

Analytics best practice: 5 key dashboard design principles

Simply put, a lot of effort is going into creating dashboards that the intended audience don’t even look at. The main purpose of a dashboard is to communicate business data in a visual form that highlights to the reader what is important, arranges it for clarity and leads them through a sequence that tells the story best so they can make better data-led decisions. Design and an understanding of how humans make decisions exist to assist this purpose.

The Dashboard Is Dead, Long Live the Dashboard

There is a lot of talk these days about the dashboard being a thing of the past. After all, simply displaying KPIs and visualizations in a dashboard is something everyone can do, right? If monitoring KPIs is all you need to do, then we would agree: The dashboard is largely dead. We can deliver those singular data points to you anywhere, monitoring what you’re interested in, alerting you to changes and triggering action.

The death of the dashboard: What it really means for analytics

Let’s get this out of the way: To understand the much discussed ’death of the dashboard' proclamation, the phrase needs to be viewed under a different lens beyond the literal. Firstly, it's not a new concept at all: Yellowfin have been saying it for years. The problem is in the current confusing interpretation around what it means for business intelligence. In short, dashboards aren’t actually dying, nor is their usefulness for certain users spent.