Tableau and Big Data: An Overview

Learn how Tableau and big data fit together

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Today, “big data” is simply data—there’s just a lot more of it, and growing use cases for analyzing it. As the means to capture, store, process, and manage data continuously emerge and evolve, it’s clear that big data analytics strategies need flexibility and agility to meet changing business demands.

At Tableau, we believe in the democratization of data—the people who know the data should be the ones empowered to ask questions of the data. We have aligned our engineering investments, partnerships within the ecosystem, and overall vision with the evolution of the data landscape to empower self-service analytics with data big or small, no matter where it lives.

Read this paper to learn more about our rich history of investments ahead of the curve in big data—including data connectivity from Hadoop and NoSQL platforms to cloud data warehouses. See how some of our customers have architected successful big data analytics solutions with technologies across the big data ecosystem, including a breakdown of common patterns.

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What's really going to make big data go mainstream is the ability to connect not just with data scientists and technologists but business people. And absolutely one of the keys to that is visualization, is being able to show people—not just tell people, not just show numbers or even show charts—but to have those charts and graphs and visualizations come alive.

About Tableau

Tableau helps people transform data into actionable insights. Explore with limitless visual analytics. Build dashboards and perform ad hoc analyses in just a few clicks. Share your work with anyone and make an impact on your business. From global enterprises to early-stage startups and small businesses, people everywhere use Tableau to see and understand their data.

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