เรื่องราว Technical/IT ทั้งหมด

Bar charts are a staple in data visualization. They are often the first chart type that comes to mind when comparing quantities across discrete groups such as sales amount for different product categories. But there are many cases where you may want to take advantage of the width of the bars and their location along the axis to present more information. For example, if you’re visualizing the number of customers by age group and the age groups are of unequal sizes, you may want to use bars of different width.

For those customers running their applications and managing their data in Microsoft Azure, we’d recommend taking a look at Azure SQL Data Warehouse as it’s a massively-parallel processing, high-performance version built for analytics use cases. You can connect Azure SQL Data Warehouse to Tableau through our existing SQL Server connector.

Complex data can make these questions tough to answer even when you have distinct and well-separated groups. Plus the data is sometimes distributed in such a way that it contains no obvious gaps to distinguish groups via manual inspection. The good news: This process just got much easier in Tableau 10. The new clustering feature automatically groups together similar data points.

Tableau 10 includes a new feature that lets you ask additional questions of your data right on the web: web-dashboard authoring! That means you can create dashboards from scratch on the web, then easily share your work.

Tableau 10 includes a number of API improvements. And these new APIs are all about opportunities—opportunities for new integrations with Tableau, and the opportunity to win a fu

We are happy to announce Tableau Server is certified for use in Google Compute Engine. This means Tableau customers who want to host Tableau Server in the cloud now have the option to host it with Google.

I’ve been educated and inspired recently by the best-selling design classic The Design of Everyday Things by UX guru Don Norman.

In December 2015, we announced support for Tableau Server on Microsoft Azure’s virtual machines. Since that time, we’ve seen a number of customers choose to deploy Tableau across their enterprise through Microsoft Azure.

Server admins, have we got an idea for you. To celebrate April Fools' Day, how about changing your logo on Tableau Server or your Tableau Online sites to something fun and quirky?

When we were building MyALPO, our internal portal to Tableau Server, we knew we wanted to include a search functionality. But it turns out search is a pretty complicated thing to build. When sat down to build the functionality, we had more questions than direction. We weren’t quite sure how to approach the problem, and we couldn’t find any resources on the web to help guide us.

MyALPO provides a personalized homepage for every user so people can quickly and easily find what they need. With more and more people authoring workbooks and data sources to Tableau Server, this scalable solution has proven immensely valuable to our users. We don’t plan to productionalize MyALPO, but we’d like to share what we learned along the way.

Data is crucial to all areas of the business. And for many of us, our data also includes sensitive information. It’s critical that a business’s revenue and customer details, for example, remain private. When published to the cloud, you need to be assured this type of sensitive data remains secure and private. Protecting the security of our users’ data is a top priority at Tableau. If you're considering—or are already working with—data in the cloud, there are specific questions you need to know are met.