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From individual databases to cloud, on-premise, and hybrid deployment options, the data landscape is a labyrinth of choice.

Learn how to set schedules, manage refresh tasks, and ensure your end users are always seeing the most up-to-date data in Tableau Online.

To meet the many needs of our customers, Tableau’s approach to cloud is simple: It’s all about choice. The choice of how and where you deploy your analytics. The choice to analyze any data, regardless of where it resides, no matter how you’ve chosen to deploy your analytics.

When it comes to analytics, sharing is caring.

In this post, we’ll dive into the difference between data extracts and live connections, and when to use them. We’ll also look at publishing data sources to Tableau Online.

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.

In Tableau 9.3, it’s even easier to work across desktop, web, and mobile. We keep you in the flow so that you can focus on what really matters: your data. Let’s take a look.

In 2015, we saw tremendous growth in cloud technology. Enterprise giants became cloud-relevant, and startups everywhere crowded into the party. Cloud data gained recognition as efficient and cost-effective, and industry players raced to capitalize on a widespread shift to cloud.

In its beginning days, cloud was seen as a cost-cutting tool. Now the top reason organizations embrace the cloud is business agility, according to a 2014 Forrester survey. Other factors like speed to deployment and lower costs now rank lower.

Most people understand the value and benefits of cloud as a deployment model. These include increased agility and efficiency of hardware resources, elasticity, metering, and lower cost. But cloud analytics solutions have evolved further to provide new drivers of business value–namely helping businesses become more integral and responsive to their customers’ needs.

Moving data and analytics to the cloud can be a challenge. Given their variety, there’s no one-size-fit-all approach. Still, the immense benefits of the cloud outweigh those challenges, concluded a recent panel on cloud analytics at the Hotel Zetta in San Francisco.

Two years ago, Vente-Exclusive found itself overwhelmed with data. It had billions of data points on customer behavior, email campaigns, and shipping logistics, but it had no way to gain timely insights. Vente-Exclusive found a solution in Google Cloud Platform, a family of products on a pay-as-you-go model. But it still had a missing link: how to present the data to business users who don’t have any SQL knowledge?