From the course: Data Engineering on AWS: Data Cataloging, Processing, Analytics, and Visualization

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Visualization introduction

Visualization introduction - Amazon Web Services (AWS) Tutorial

From the course: Data Engineering on AWS: Data Cataloging, Processing, Analytics, and Visualization

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Visualization introduction

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- [Lecturer] We have seen how to process big data in AWS and how to issue SQL queries against it interactively. But to really extract meaning from your big data, you need to visualize it with charts and graphs. AWS visualization tools are aimed at a broader audience than AWS developers and engineers. It covers all the employees from corner office to factory floors. In this section, I'll show you how to use one of the latest business intelligence tools released in the market: Amazon QuickSight. It is cloud-powered, business intelligence service that allows you to interactively explore your data with a wide variety of graph types to visualize the data. Effective visualization requires knowledge of how to choose the right kind of graph for a problem. And we will spend time to ensure you know which visualization type is appropriate for different kinds of data. But what makes QuickSight special? QuickSight is a cloud solution…

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