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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.

Databases are populated with many large tables of tabular data, making them problematic to conceptualize. The ability to see and understand the data within a database easily is crucial to beginning any analysis. It turns out there are many database administrative tools that map out data models, but mapping hundreds of tables in a database tends to be a mess. Plus they are generally not available to the end users.

Much like cycling fans following their favorites in the Tour de France, I spent the month of July tracking the best of Tableau and data visualization content out there so that I could turn around and tell you all about it. Pretty nice of me, huh? I’ll never be a visual analysis guru and I’ll never be a professional cyclist, but it’s my absolute pleasure to deliver this roundup with a hearty dose of Tour de France terminology!

So you’ve started your journey toward a culture of self-service analytics. By now you’ve likely probably discovered how great data sources can be, and you are working to build an enablement platform. Next comes one of our most popular enablement programs, Tableau Doctor.

We’re excited to share we’re releasing a brand new version of our Tableau Mobile app as part of Tableau 9.1. Make no mistake, this is not your typical dot-update release as the version number suggests.

レーダーチャートは、複数の指標でディメンションメンバーを比較するのに良い手法です。たとえばスマートフォンを購入する場合、レーダーチャートを利用して、バッテリー駆動時間、カメラの画質、メモリ容量などの複数の指標でスマートフォンを比較することができます。

So you want to build a culture of self-service analytics, and you understand the value of data sources. What comes next? Once users begin engaging with their data, they’re bound to have questions. That’s what we saw here at Tableau where every employee gets a copy of Tableau Desktop as well as access to data.