In a previous blog post, we introduced cloud data visualization in Cloudera Data Warehouse (CDW), available in sampling technology in CDP Public Cloud. This blog will help you get started with Cloudera data visualization. So you can start building interesting and powerful applications for all types of information. Run Cloudera data visualization Start by enabling data visualization for your CDW in CDP in Cloudera Data Warehouse view. Create a new virtual warehouse for the database catalog that hosts the data you want to visualize. In our example it is the airline database catalog. At the bottom of the virtual warehouse creation pane, there is a toggle that allows you to decide whether data visualization should be enabled for this virtual warehouse database catalog. Note: Currently, there is only one virtual warehouse per base catalog. Only data can disclose data visualization to users. Now open the data visualization example. By selecting Open Data Visualization. From the Virtual Warehouse drop-down menu (when the virtual warehouse is running). You can log in with your workload credentials, just make sure your role in the visualization tool is set to the appropriate interaction level by the system administrator first. Or if you have administrative privileges, you can log in with administrator credentials. After logging in, you will be taken to the main view of data visualization. Where you can locate the sample dashboard and access the guide starting easily in the tool. Then you need to make a show. (Such as a dataset) your table, or a combination of tables you use to display different views in a dashboard and application. You can explore different channels to model the data of your choice. We will cover the basics in the next blog post. But if you can’t wait, there is a simple document to get you started on your own. If you need help, we are always happy to help – our mission is to help you succeed! Please feel free to contact your Cloudera account team or if you are a new user, please contact us to learn more about Cloudera Data Visualization in CDW. Run Cloudera data visualization Start by enabling data visualization for your CDW in CDP in Cloudera Data Warehouse view. Create a new virtual warehouse for the database catalog that hosts the data you want to visualize. In our example this is the airline database catalog. In a previous blog post, we introduced cloud data visualization in Cloudera Data Warehouse (CDW) available in sampling technology in CDP Public Cloud. This blog will help you get started with cloud data visualization. So you can start building interesting and powerful applications for all types of information. At the bottom of the Virtual Warehouse creation pane, there is a toggle that allows you to decide whether data visualization should be enabled for this virtual warehouse database catalog. Note: Currently, there is only one virtual warehouse per base catalog. Only data can disclose data visualization to users. In this blog, we will walk you through a personal information, with a short demo attached to show you how the AZ Data Employee workflow is quick and easy through self-service integration. With smooth and native cloud technology you will know all the parts of Cludera’s data platform which will speed up your daily data worker job. I met Matthew in New York City about a year ago. We sat in a private living room and they told me the story of starting their medicine. A small group of researchers uncovered the mystery of some type of black box of cancer. There are many cancers, so his vision focuses specifically on malignant cancers. Moving quickly, the FDA approved the “IL Marie” procedure and cures for patients with stage IV cancer. Two more frustrating things in your day-to-day life as an analyst or SQL practitioner: you don’t have easy access to data when you need it or there are useful and handy tools available to you that you don’t get. Has blocked its path! As a dear client of mine, a Pharma information worker told me: “I don’t really care about bells and whistles, I just want to get the job done.” Nearly 10 years of SQL development with a modern data warehouse.