3 Shifts in the Modern Data Environment

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Get perspective on how the database landscape is changing and what IT leaders are doing in response.

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The rapid pace of innovation in the database landscape is causing IT leaders to entirely re-evaluate their data environment strategies. From Hadoop, to NoSQL, to Cloud data assets – the expectation for IT groups to stay current with new technologies and approaches has never been higher. With self-service analytics shaping the modern data environment, it's critical for CIOs, IT Directors and business leaders to all work together for the best possible deployments of new technologies.

Read this paper to learn more about the three major shifts within the modern data environment and how they apply to your organization. We'll cover:

  • The emergence of Hadoop and NoSQL and what that means for the traditional enterprise data warehouse
  • Understanding how to evaluate cloud data assets
  • Embracing self-service analytics as part of data platform strategy

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We really wanted a self-service model. The folks in IT really didn't want to be the report writers, nor should they be. From an IT perspective, we can put Tableau where it belongs, in the hands of the folks that use the data and know the data.

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關於 Tableau

Tableau 協助使用者將資料轉化為可據以採取行動的深入分析。透過視覺化分析探索無限可能。只要按幾下滑鼠,就可以建立儀表板並執行臨時分析。分享您的工作並讓您的資料發揮影響力。從全球性的企業到初期新創公司與小型公司,各地的使用者都使用 Tableau 來查看並瞭解資料。



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